CN108122602B

CN108122602B - Data analysis method and data analysis device based on electronic equipment

Info

Publication number: CN108122602B
Application number: CN201611075415.0A
Authority: CN
Inventors: 白莉莉
Original assignee: Netease Hangzhou Network Co Ltd
Current assignee: Netease Hangzhou Network Co Ltd
Priority date: 2016-11-29
Filing date: 2016-11-29
Publication date: 2021-11-23
Anticipated expiration: 2036-11-29
Also published as: CN108122602A

Abstract

The embodiment of the invention provides a data analysis method and a data analysis device based on electronic equipment. The method can obtain the follow-up operation suggestion of the user based on the detection value of the currently detected physiological index and a preset analysis template corresponding to the currently detected physiological index. Therefore, the embodiment of the invention does not need to determine the subsequent detection time according to the occurrence time of the specific event, and gives the subsequent operation suggestion based on the currently detected detection value. Therefore, the follow-up operation suggestion is given based on the actual situation instead of the assumed situation, and the accuracy of the follow-up operation suggestion is remarkably improved. In addition, the follow-up operation suggestion can be continuously optimized according to different physiological indexes, corresponding information of the actual requirements of the user is provided, and better experience can be further brought to the user.

Description

Data analysis method and data analysis device based on electronic equipment

Technical Field

The embodiment of the invention relates to the field of information processing, in particular to a data analysis method and a data analysis device based on electronic equipment.

Background

This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.

Currently, the user can analyze the corresponding physiological indexes through data. For example, detecting the LH (luteinizing hormone) value in preparation for pregnancy.

Specifically, the prior art generally gives the starting time of the subsequent detection according to the occurrence time of a specific event. Taking the LH value as an example, the specific event is menstruation. In general, the LH value is a physiological indicator that needs to be detected continuously, and the following detection scheme currently provided needs to know the menstrual cycle of the user and estimate when to start detecting the LH value according to the menstrual cycle. .

Disclosure of Invention

However, in the method of giving the time for the subsequent detection by the occurrence time of the specific event, if it is required to satisfy the requirement that the specific event has a periodic regularity, that is, the method is required to satisfy the assumed condition, for example, the menstrual cycle must be accurate and must be a fixed value. The method therefore gives inaccurate time for subsequent detection. In particular, for LH, for example, the menstrual cycle is not stable for many users. For example, some users sometimes advance or sometimes push back menstrual cycle disorders. As a result, the subsequent detection day given with a fixed menstrual cycle and a fixed menstrual onset time is not accurate.

Therefore, in the prior art, when the subsequent detection time is given according to the occurrence time of the specific event, a reasonable detection time of the subsequent detection may not be given. In addition, in the prior art, the calculation of the subsequent detection time usually depends on manual calculation, so that the subsequent detection time is easy to forget or cannot be mastered by part of users, and difficulty is brought to the physiological detection needing to be performed at an accurate time point for pregnancy preparation and the like, which is a very annoying process.

For this reason, a new scheme for giving subsequent detection advice is highly required so that reasonable operation advice can be given.

In this context, embodiments of the present invention are intended to provide a data analysis method and a data analysis apparatus based on an electronic device.

In a first aspect of embodiments of the present invention, there is provided an electronic device-based data analysis method, including:

acquiring a currently detected physiological index detection value of a user;

acquiring a subsequent operation suggestion of the user according to a currently detected physiological index detection value and a preset analysis template corresponding to the currently detected physiological index;

and outputting the follow-up operation suggestion.

According to the data analysis method, in one embodiment, the follow-up operation suggestion comprises a follow-up operation suggestion at a first time and a follow-up operation suggestion at a second time;

the method further comprises the following steps:

and when the physiological index detection value corresponding to the first time is acquired, adjusting the follow-up operation suggestion corresponding to the second time according to the physiological index detection value.

According to the data analysis method, in one embodiment, the follow-up operation suggestion includes a recommended detection time of at least two follow-up detections.

According to the above data analysis method, in one embodiment, the method further comprises:

and adjusting the recommended detection time of subsequent detection according to the detection value of the currently detected physiological index.

According to the above data analysis method, in one embodiment, the value of the physiological index is the LH value; obtaining a subsequent operation suggestion of the user according to a currently detected physiological index detection value and a preset analysis template corresponding to the currently detected physiological index, wherein the subsequent operation suggestion specifically comprises the following steps:

searching a detection record of the LH value, wherein the detection record is used for storing the LH value obtained by each detection;

if the detection record is not empty, determining the change trend of the LH value according to the currently detected LH value and the detection record;

determining whether the change trend of the LH value is matched with a preset change trend for determining the ovulation characteristics;

if so, determining that the follow-up operation suggestion comprises the recommended time of the same room;

and if not, determining the recommended detection time of the subsequent detection as a subsequent operation suggestion according to the currently detected LH value.

and if the detection record is empty, determining the recommended detection time of the subsequent detection as a subsequent operation suggestion according to the currently detected LH value.

According to the above data analysis method, in an embodiment, before searching for the detection record of the LH value, the method further includes:

determining whether the currently detected LH value is less than a preset minimum value;

if the operation is less than the preset minimum value, determining that the subsequent operation suggestion comprises subsequent detection at a first time interval from a second designated time;

if not, executing the step of searching the detection record of the LH value.

determining whether the currently detected LH value is greater than a preset maximum value;

if the value is larger than the preset maximum value, determining the follow-up operation suggestion, wherein if the LH value is detected to be reduced subsequently, the room is shared within a first preset time length from the observation of the reduction of the LH value;

if the value is smaller than the preset highest value, the step of searching the detection record of the LH value is executed.

According to the above data analysis method, in one embodiment, the trend of the ovulation characteristics includes a decrease in the currently detected LH value by a specified value compared to the last detected LH value.

According to the data analysis method, in one embodiment, determining the change trend of the LH value according to the currently detected LH value and the detection record specifically includes:

and determining the change trend of the currently detected LH value compared with the previously detected LH value according to the numerical interval of the currently detected LH value and the numerical interval of the previously detected LH value recorded in the detection record.

According to the above data analysis method, in one embodiment, the interval of LH values includes:

a first value interval, wherein the value of the interval is smaller than a preset lowest value;

a second numerical value interval, wherein the numerical value of the interval is greater than or equal to a preset lowest value and smaller than the first preset value;

a third value interval, wherein the value of the interval is greater than or equal to the first preset value and smaller than the second preset value;

a fourth value interval, wherein the value of the interval is greater than or equal to the second preset value and smaller than the third preset value;

a fifth numerical interval, wherein the numerical value of the interval is greater than or equal to a third preset value and less than or equal to a preset highest value;

and a sixth numerical interval, wherein the numerical value of the interval is greater than the preset highest value.

According to the data analysis method, in one embodiment, the determining whether the change trend of the LH value matches a preset change trend for determining the ovulation characteristics includes:

if the currently detected LH value is in the second numerical value interval or the third numerical value interval and the previously detected LH value is in any one of the fourth numerical value interval, the fifth numerical value interval and the sixth numerical value interval, determining that the change trend of the LH value is matched with the preset change trend for determining the ovulation characteristics: otherwise, not matching;

if the currently detected LH value is in any one of the fourth numerical interval, the fifth numerical interval and the sixth numerical interval and is smaller than the LH value detected last time, determining that the change trend of the LH value is matched with the preset change trend for determining the ovulation characteristics; otherwise, there is no match.

According to the data analysis method, in one embodiment, if the variation trend of the LH value does not match a preset variation trend for determining the ovulation occurrence characteristic, determining a recommended detection time for subsequent detection as a subsequent operation suggestion according to the currently detected LH value specifically includes:

if the currently detected LH value is in the second numerical interval, determining that the follow-up operation suggestion comprises detecting once every second time interval from the third specified time;

if the currently detected LH value is in a third numerical interval, determining that the follow-up operation suggestion comprises detecting once every third time interval from a fourth specified time;

if the currently detected LH value is in a fourth numerical interval, determining that the follow-up operation suggestion comprises detecting once every fourth time interval from the fifth specified time;

if the currently detected LH value is in a fifth numerical interval or a sixth numerical interval, determining that the follow-up operation suggestion comprises detecting once every fifth time interval from sixth specified time; the second time interval is greater than the third time interval, the third time interval is greater than the fourth time interval, and the fourth time interval is greater than the fifth time interval.

if the change trend of the LH value is not matched with the preset change trend for determining the ovulation characteristics, the currently detected LH value is in a specified numerical range, and the currently detected LH value is higher than the LH value detected last time, determining the follow-up operation suggestion further comprises indicating that ovulation has occurred if the LH value is detected to be reduced subsequently.

and if the detection record is empty, giving the level of the currently detected LH value, wherein the higher the value of the LH, the higher the corresponding level is.

According to the data analysis method, in one embodiment, outputting the follow-up operation suggestion specifically includes:

the number of subsequent detections whose recommended detection time belongs to the same date is counted and output in the corresponding date of the corresponding calendar page.

and displaying the detection identifier of each subsequent detection on the corresponding date in the calendar in a first highlighting mode.

determining whether a physiological index detection value of the user is obtained within a preset detection time period taking detection time corresponding to each subsequent detection as a reference or not aiming at each subsequent detection in the subsequent operation suggestion;

if not, determining that the user does not implement the detection at the detection time corresponding to the subsequent detection; updating the detection identifier corresponding to the detection time corresponding to the subsequent detection from the first state to the second state;

and if the detection time is acquired, updating the detection identifier corresponding to the detection time corresponding to the subsequent detection from the first state to a third state.

According to the above data analysis method, in one embodiment, after determining whether the change trend of the LH value matches a preset change trend for determining the occurrence of ovulation characteristics, the method further comprises:

if the detection date is matched with the ovulation date, determining the current detection date as the ovulation date;

outputting the follow-up operation suggestion, specifically comprising

The day of ovulation is displayed in a calendar in a second highlighted manner.

receiving input information of a user for executing a predetermined behavior;

and outputting an operation suggestion for detecting the second physiological index according to the input information for executing the predetermined action.

receiving information indicating that the user has shared the house;

analyzing the date of the same house from the information of the same house, and determining that the identifier of the same house representing the same house is displayed in the corresponding date of the calendar; and

and determining HCG recommended detection time for subsequent detection of HCG value of human chorionic gonadotropin according to the date of the same room carried in the information of the same room, and outputting the time.

receiving start information indicating a start of a menstrual period and end information indicating an end of the menstrual period;

and displaying an identifier indicating that the user is in the menstrual period in the calendar according to the period start information and the period end information.

determining reminding time according to the recommended detection time in the follow-up operation suggestion;

and outputting a prompt for prompting the user to detect when the reminding time is up.

In a second aspect of embodiments of the present invention, there is provided a data analysis apparatus comprising:

the acquisition module is used for acquiring a currently detected physiological index detection value of a user;

the first suggestion determination module is used for obtaining a subsequent operation suggestion of the user according to a currently detected physiological index detection value and a preset analysis template corresponding to the currently detected physiological index;

and the output module is used for outputting the follow-up operation suggestion.

According to the data analysis device, in one embodiment, the follow-up operation suggestion includes a follow-up operation suggestion at a first time and a follow-up operation suggestion at a second time;

the device further comprises:

and the suggestion adjusting module is used for adjusting the follow-up operation suggestion corresponding to the second time according to the physiological index detection value when the physiological index detection value corresponding to the first time is obtained.

According to the data analysis apparatus, in one embodiment, the follow-up operation suggestion includes a recommended detection time of at least two follow-up detections.

According to the above data analysis apparatus, in one embodiment, the apparatus further comprises:

and the recommended detection time adjusting module is used for adjusting the recommended detection time of subsequent detection according to the detected value of the currently detected physiological index.

According to the data analysis apparatus, in an embodiment, the first suggestion determination module specifically includes:

the searching unit is used for searching a detection record of the LH value, and the detection record is used for storing the LH value obtained by each detection;

the change trend determining unit is used for determining the change trend of the LH value according to the currently detected LH value and the detection record if the detection record is not empty;

the matching unit is used for determining whether the change trend of the LH value is matched with the preset change trend for determining the ovulation characteristics;

the first suggestion determining unit is used for determining that the follow-up operation suggestion comprises the recommended time of the same house if the follow-up operation suggestion is matched with the recommended time of the same house;

and the second suggestion determining unit is used for determining the recommended detection time of the subsequent detection as the subsequent operation suggestion according to the currently detected LH value if the detection time of the subsequent detection is not matched with the currently detected LH value.

and the second suggestion determining module is used for determining the recommended detection time of the subsequent detection as the subsequent operation suggestion according to the currently detected LH value if the detection record is empty.

the first judgment module is used for determining whether the currently detected LH value is smaller than a preset lowest value before the detection record of the LH value is searched by the searching unit;

a third suggestion determination module, configured to determine that a subsequent operation suggestion includes subsequent detection at the first time interval from the second designated time if the subsequent operation suggestion is smaller than the preset minimum value;

and the fourth suggestion determination module is used for triggering the search unit to execute the step of searching the detection record of the LH value if the detection record is not less than the preset lowest value.

the second judgment module is used for determining whether the currently detected LH value is greater than a preset highest value before the search unit searches for the detection record of the LH value;

a fifth suggestion determining module, configured to determine, if the value is greater than the preset maximum value, that the subsequent operation suggestion includes that if the subsequent detection indicates that the LH value decreases, the subsequent operation suggestion is homodromous within the first preset duration from the observation that the LH value decreases;

and the sixth suggestion determining module is used for triggering the searching unit to execute the step of searching the detection record of the LH value if the LH value is smaller than the preset highest value.

According to the above data analysis apparatus, in one embodiment, the trend of the ovulation characteristics includes a decrease in the currently detected LH value by a specified value from the previously detected LH value.

According to the data analysis device, in one embodiment, the variation trend determination unit is specifically configured to:

According to the data analysis device, in one embodiment, the interval of LH values includes:

According to the data analysis device, in one embodiment, the matching unit specifically includes:

the trend determination first subunit is configured to determine that a variation trend of the LH value matches a preset variation trend for determining the ovulation characteristics if the currently detected LH value is in the second numerical value interval or the third numerical value interval and the last detected LH value is in any one of the fourth numerical value interval, the fifth numerical value interval, and the sixth numerical value interval: otherwise, not matching;

the trend determination second subunit is used for determining that the change trend of the LH value is matched with the preset change trend for determining the ovulation characteristics if the currently detected LH value is in any one of the fourth numerical interval, the fifth numerical interval and the sixth numerical interval and is smaller than the LH value detected last time; otherwise, there is no match.

According to the data analysis apparatus, in an embodiment, the second suggestion determination unit is specifically configured to:

and the seventh suggestion determining module is used for determining that the follow-up operation suggestion further comprises that ovulation has occurred if the follow-up detection result shows that the LH value is reduced, if the change trend of the LH value does not match the preset change trend for determining the ovulation occurrence characteristics, the currently detected LH value is in a specified numerical range, and the currently detected LH value is higher than the LH value detected last time.

and the eighth suggestion determining module is used for giving the level of the currently detected LH value if the detection record is empty, wherein the higher the value of the LH is, the higher the corresponding level is.

According to the data analysis apparatus, in an embodiment, the output module is specifically configured to:

and the first display module is used for displaying the detection identifier of each subsequent detection on the corresponding date in the calendar in a first highlighting mode.

the second display module is used for determining whether the physiological index detection value of the user is obtained within a preset detection time period taking the detection time corresponding to each subsequent detection as a reference aiming at each subsequent detection in the subsequent operation suggestion;

the first updating module is used for determining that the user does not implement the detection at the detection time corresponding to the subsequent detection if the detection time is not acquired; updating the detection identifier corresponding to the detection time corresponding to the subsequent detection from the first state to the second state;

and the second updating module is used for updating the detection identifier corresponding to the detection time corresponding to the subsequent detection from the first state to the third state if the detection identifier is acquired.

the ovulation day determining module is used for determining the current detection date as the ovulation day if the change trend determining unit determines that the change trend of the LH value is matched with the preset change trend for determining the ovulation characteristics;

and the output module is specifically used for displaying the ovulation day in the calendar in a second highlighting mode.

the user behavior information receiving module is used for receiving input information of a user executing a preset behavior;

and the second physiological index detection suggestion output module is used for outputting an operation suggestion for detecting the second physiological index according to the input information for executing the preset action.

the system comprises a same-room information receiving module, a sending module and a receiving module, wherein the same-room information receiving module is used for receiving same-room information indicating the same room;

the co-room identifier display module is used for analyzing a co-room date from the co-room information and determining that a co-room identifier representing the co-room is displayed in a corresponding date of the calendar;

and the HCG detection information output module is used for determining HCG recommended detection time for subsequent detection of HCG value of human chorionic gonadotropin according to the date of the same room carried in the information of the same room and outputting the HCG recommended detection time.

the menstruation information receiving module is used for receiving start information indicating the start of a menstruation period and end information indicating the end of the menstruation period;

and the menstruation information display module is used for displaying the mark indicating that the user is in the menstruation period in the calendar according to the menstruation period starting information and the menstruation period ending information.

the reminding time determining module is used for determining reminding time according to the recommended detection time in the follow-up operation suggestion;

and the reminding module is used for outputting a prompt for reminding the user of detecting when the reminding time is up.

and the recommended detection time adjusting module is used for adjusting the number and the corresponding time of the detection marks of the subsequent detection according to the detection value of the currently detected physiological index.

In a third aspect of the embodiments of the present invention, there is provided a data analysis apparatus, which may include a memory and a processor, for example, wherein the processor may be configured to read a program in the memory and execute the following processes:

acquiring a currently detected physiological index detection value of a user;

and outputting the follow-up operation suggestion.

the processor may be further configured to read the program in the memory and perform the following:

According to the data analysis device, in one embodiment, the processor is further configured to read a program stored in the memory, and execute the following processes:

According to the above data analysis device, in one embodiment, the value of the physiological index is the LH value; obtaining a subsequent operation suggestion of the user according to a currently detected physiological index detection value and a preset analysis template corresponding to the currently detected physiological index, wherein the subsequent operation suggestion specifically comprises the following steps:

before searching the detection record of the LH value, determining whether the currently detected LH value is less than a preset lowest value;

if not, executing the step of searching the detection record of the LH value.

before searching the detection record of the LH value, determining whether the currently detected LH value is greater than a preset highest value;

According to the data analysis device, in one embodiment, determining the change trend of the LH value according to the currently detected LH value and the detection record specifically includes:

According to the data analysis device, in one embodiment, the determining whether the change trend of the LH value matches a preset change trend for determining the ovulation characteristics includes:

According to the data analysis device, in one embodiment, if the variation trend of the LH value does not match a preset variation trend for determining the ovulation occurrence characteristic, determining a recommended detection time for subsequent detection as a subsequent operation suggestion according to the currently detected LH value specifically includes:

According to the data analysis device, in an embodiment, outputting the follow-up operation suggestion specifically includes:

determining whether the change trend of the LH value is matched with a preset change trend for determining the ovulation characteristics, and if so, determining the current detection date as the ovulation day;

outputting the follow-up operation suggestion, specifically comprising

The day of ovulation is displayed in a calendar in a second highlighted manner.

receiving input information of a user for executing a predetermined behavior;

receiving information indicating that the user has shared the house;

In a fourth aspect of embodiments of the present invention, there is provided a program product comprising program code for performing, when the program product is run, the following:

acquiring a currently detected physiological index detection value of a user;

and outputting the follow-up operation suggestion.

According to the above program product, in one embodiment, the follow-up operation advice includes a follow-up operation advice at a first time and a follow-up operation advice at a second time;

the program code is also for performing the following:

According to the program product described above, in one embodiment, the follow-up action recommendation includes a recommended detection time for at least two follow-up detections.

According to the above program product, in one embodiment, the program code is further configured to perform the following:

According to the above program product, in one embodiment, the value of the physiological index is the LH value; obtaining a subsequent operation suggestion of the user according to a currently detected physiological index detection value and a preset analysis template corresponding to the currently detected physiological index, wherein the subsequent operation suggestion specifically comprises the following steps:

if not, executing the step of searching the detection record of the LH value.

According to the above program product, in one embodiment, the trend of the ovulation characteristics includes a decrease in the currently detected LH value by a specified value compared to the last detected LH value.

According to the above program product, in one embodiment, determining a change trend of the LH value according to the currently detected LH value and the detection record specifically includes:

According to the above program product, in one embodiment, the interval of values of the LH value includes:

According to the program product, in one embodiment, the determining whether the change trend of the LH value matches a preset change trend for determining the ovulation characteristics includes:

According to the program product, in one embodiment, if the variation trend of the LH value does not match the preset variation trend for determining the ovulation occurrence characteristic, determining the recommended detection time for subsequent detection as the subsequent operation suggestion according to the currently detected LH value specifically includes:

According to the program product, in one embodiment, outputting the follow-up operation suggestion specifically includes:

outputting the follow-up operation suggestion, specifically comprising

The day of ovulation is displayed in a calendar in a second highlighted manner.

receiving input information of a user for executing a predetermined behavior;

receiving information indicating that the user has shared the house;

According to the data analysis method and the data analysis device based on the electronic equipment, provided by the embodiment of the invention, the follow-up operation suggestion of the user can be obtained based on the currently detected physiological index detection value and the preset analysis template corresponding to the currently detected physiological index. Therefore, the embodiment of the invention does not need to determine the subsequent detection time according to the occurrence time of the specific event, and gives the subsequent operation suggestion based on the currently detected detection value. Therefore, the follow-up operation suggestion is given based on the actual situation instead of the assumed situation, and the accuracy of the follow-up operation suggestion is remarkably improved. In addition, the follow-up operation suggestion can be continuously optimized according to different physiological indexes, corresponding information of the actual requirements of the user is provided, and better experience can be further brought to the user.

Drawings

The above and other objects, features and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description read in conjunction with the accompanying drawings. Several embodiments of the invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:

FIG. 1 schematically illustrates an application scenario according to an embodiment of the present invention;

FIG. 2 schematically illustrates a flow diagram of an electronic device-based data analysis method according to another embodiment of the invention;

FIG. 3 schematically shows one of the diagrams showing a follow-up action recommendation according to yet another embodiment of the invention;

FIG. 4 schematically illustrates a second schematic diagram showing a follow-up action recommendation in accordance with yet another embodiment of the present invention;

FIG. 5 schematically illustrates a third schematic diagram showing a follow-up action suggestion according to yet another embodiment of the invention;

FIG. 6 schematically illustrates a fourth schematic diagram showing a follow-up action recommendation in accordance with yet another embodiment of the present invention;

FIG. 7 schematically illustrates a flow diagram of an electronic device-based data analysis method according to yet another embodiment of the present invention;

FIG. 8 schematically shows a schematic configuration of a data analysis apparatus according to still another embodiment of the present invention;

fig. 9 schematically shows a schematic configuration of a data analysis apparatus according to a further embodiment of the present invention;

FIG. 10 schematically illustrates a block diagram of a program product for data analysis according to an embodiment of the invention;

in the drawings, the same or corresponding reference numerals indicate the same or corresponding parts.

Detailed Description

The principles and spirit of the present invention will be described with reference to a number of exemplary embodiments. It is understood that these embodiments are given solely for the purpose of enabling those skilled in the art to better understand and to practice the invention, and are not intended to limit the scope of the invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

As will be appreciated by one skilled in the art, embodiments of the present invention may be embodied as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.

According to an embodiment of the invention, a method and apparatus are presented.

In this context, it is to be understood that the terms referred to include:

and the analysis template is used for analyzing the physiological index detection value and giving a template of a subsequent operation suggestion, and the template can be a module in the application client or a module in the server.

Moreover, any number of elements in the drawings are by way of example and not by way of limitation, and any nomenclature is used solely for differentiation and not by way of limitation.

The principles and spirit of the present invention are explained in detail below with reference to several representative embodiments of the invention.

Summary of The Invention

The inventors have found that, in a method of giving the time for the subsequent detection in terms of the occurrence time of a specific event, if it is required to satisfy that the specific event has a periodic regularity, that is, the method is required to satisfy the assumed condition, for example, the menstrual cycle must be accurate and must be a fixed value. The time for subsequent detection given by this method is not accurate. In particular, for LH, for example, the menstrual cycle is not stable for many users. For example, some users sometimes advance or sometimes push back menstrual cycle disorders. As a result, the subsequent detection day given with a fixed menstrual cycle and a fixed menstrual onset time is not accurate. In the prior art, calculation of subsequent detection time usually depends on manual calculation, is easy to forget or cannot be mastered by part of users, and brings difficulty to physiological detection needing to be carried out at an accurate time point for pregnancy preparation and the like, which is a very annoying process.

According to the data analysis method and the data analysis device based on the electronic equipment, provided by the embodiment of the invention, the follow-up operation suggestion of the user can be obtained based on the currently detected physiological index detection value and the preset analysis template corresponding to the currently detected physiological index. Therefore, the embodiment of the invention does not need to determine the subsequent detection time according to the occurrence time of the specific event, and gives the subsequent operation suggestion based on the currently detected detection value. Therefore, the follow-up operation suggestion is given based on the actual situation instead of the assumed situation, and the accuracy of the follow-up operation suggestion is remarkably improved. In addition, the follow-up operation suggestion can also give corresponding information of the actual requirements of the user according to different physiological indexes, and better experience can be further brought to the user.

Having described the general principles of the invention, various non-limiting embodiments of the invention are described in detail below.

Application scene overview

Fig. 1 is a schematic view of an application scenario of a data analysis method based on an electronic device according to an embodiment of the present invention. A user 10, a user terminal 11 and a server 12 may be included in the scenario. Various clients, such as a client for detecting physiological indexes, a calendar client, and the like, may be installed in the user terminal 11. A client or a server 12 in a user terminal 11 acquires a currently detected physiological index detection value of a user; acquiring a subsequent operation suggestion of the user according to a currently detected physiological index detection value and a preset analysis template corresponding to the currently detected physiological index; and outputting the follow-up operation suggestion.

That is to say, the data analysis method based on the electronic device provided in the embodiment of the present invention may be implemented by a server on the network side, or may be implemented by a client installed in the user terminal, or even the user terminal such as a mobile phone or other portable mobile electronic devices, or even implemented partially by the client and partially by the server, which is not limited in this respect.

Electronic device based may refer to any form of electronic device based on a server device, a client device, etc. It should be understood that all forms of protection exist, based on electronic devices, of either entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software, but are not intended to be limiting.

The user terminal 11 and the server 12 may be communicatively connected through a communication network, which may be a local area network, a wide area network, or the like. The user terminal 11 may be a mobile phone, a tablet computer, a notebook computer, a personal computer, etc., and the server 12 may be any server device capable of supporting corresponding data analysis.

Exemplary method

In the following, in connection with the application scenario of fig. 1, a method for data analysis according to an exemplary embodiment of the present invention is described with reference to fig. 2-7. It should be noted that the above application scenarios are merely illustrated for the convenience of understanding the spirit and principles of the present invention, and the embodiments of the present invention are not limited in this respect. Rather, embodiments of the present invention may be applied to any scenario where applicable.

Example one

As shown in fig. 2, a schematic flow chart of a data analysis method based on an electronic device according to an embodiment of the present invention includes the following steps:

step 201: and acquiring a currently detected physiological index detection value of the user.

Step 202: and obtaining a subsequent operation suggestion of the user according to the detection value of the currently detected physiological index and a preset analysis template corresponding to the currently detected physiological index.

Wherein, in one embodiment, when the detected physiological index is a physiological index for which a subsequent detection time needs to be given, the subsequent operation suggestion includes detection time information of the subsequent detection.

In one embodiment, if the subsequent detection requires multiple detections, the detection time information includes recommended detection times of at least two subsequent detections, and the recommended detection times may be represented by at least two recommended detection times displayed simultaneously. Therefore, for the user, the user can intuitively know when the detection is carried out subsequently and the frequency or frequency of the subsequent detection, so that the user can conveniently arrange own things reasonably according to the condition of the user and prepare for the detection, and the application experience of the user can be improved.

Step 203: and outputting the follow-up operation suggestion.

Wherein, in one embodiment, if the value of the physiological index is an LH value; obtaining a subsequent operation suggestion of the user according to the currently detected physiological index detection value and a preset analysis template corresponding to the currently detected physiological index, which may specifically include:

step A1: and searching a detection record of the LH value, wherein the detection record is used for storing the LH value obtained by each detection.

Step A2: and if the detection record is not empty, determining the change trend of the LH value according to the currently detected LH value and the detection record.

In one embodiment, if the detection record is empty, the recommended detection time of the subsequent detection is determined as the subsequent operation suggestion according to the currently detected LH value. Therefore, the user can know when to perform subsequent detection again, and the application experience of the user is improved.

Step A3: it is determined whether the change trend of the LH value matches a preset change trend for determining the occurrence of ovulation characteristics.

Step A4: and if so, determining that the follow-up operation suggestion comprises the recommended time of the same room.

In one embodiment, the subsequent operation suggestion of the recommended time of the same room can be represented by arranging the same room within a first preset time length from a first specified time.

The first designated time may be a corresponding current time, and for example, for the user, may be described as "arrange the same room within a first preset time period from now". Alternatively, the first designated time is a specific time, such as from year, month, day, hour, etc. The designated time is similar and will not be described in detail later.

Step A5: and if not, determining the recommended detection time of the subsequent detection as a subsequent operation suggestion according to the currently detected LH value.

Therefore, the follow-up operation suggestion can be given by combining the actual situation according to the currently detected LH value and the variation trend of ovulation, so that the follow-up operation suggestion of the embodiment of the invention is more reasonable and accurate.

In one embodiment, the inventors found that the LH value varies regularly over a period of time around the day of ovulation in practicing the present invention. That is, the LH values may have a distinct and transient spike the day before ovulation. Therefore, the trend of the ovulation characteristics includes a decrease of the currently detected LH value by a given value from the previously detected LH value. That is, once a significant drop in LH is found, this indicates that the LH value has fallen back from the peak, indicating that ovulation has occurred.

Among other things, in one embodiment, the inventors have also discovered that the peak value of the LH value is typically within a certain range during the practice of the present invention. That is, when LH is very small, ovulation is not possible at all or already occurs. Therefore, in this case, it is not necessary to continue the execution of step a1 to step a5 to determine the result. Therefore, in an embodiment of the present invention, in order to improve processing efficiency, before searching for the detection record of the LH value, the method further includes:

step B1: it is determined whether the currently detected LH value is less than a preset minimum value.

Step B2: if the value is less than the preset minimum value, the subsequent operation suggestion is determined to comprise subsequent detection at the first time interval from the second designated time.

Step B3: if not, step A1 is executed.

Similarly, in the embodiment of the present invention, before searching for the detection record of the LH value, the method further includes:

step C1: it is determined whether the currently detected LH value is greater than a preset maximum value.

Step C2: if the value is larger than the preset highest value, determining the follow-up operation suggestion comprises the step of enabling the house to be shared within a first preset time length from the observation of the LH value reduction if the LH value reduction is detected subsequently.

Step C3: if less than the preset maximum, step A1 is performed.

Before step a1 is executed, the LH value, the preset minimum value and the preset maximum value may be determined according to the above method, specifically:

step D1: it is determined whether the currently detected LH value is less than a preset minimum value or higher than a preset maximum value.

Step D2: if the value is less than the preset minimum value, the subsequent operation suggestion is determined to comprise subsequent detection at the first time interval from the second designated time.

Step D3: if the value is larger than the preset highest value, determining the follow-up operation suggestion comprises the step of enabling the house to be shared within a first preset time length from the observation of the LH value reduction if the LH value reduction is detected subsequently.

Step D4: if the currently detected LH value is neither less than the preset minimum value nor higher than the preset maximum value, step a1 is executed.

Thus, whether the matching is needed or not can be determined before whether the matching meets the variation trend of ovulation, and therefore the follow-up operation suggestion can be determined only in a relatively small mode under the condition that the matching is not needed. Because the comparison of the size ratio and the variation trend is easy to realize and the operation is simple, the data processing efficiency can be improved.

In one embodiment, the LH value may be divided into a plurality of intervals in advance, and then the variation trend of the LH value may be determined according to the detected LH value and the detection record. Specifically, determining a variation trend of the LH value according to the currently detected LH value and the detection record specifically includes: and determining the change trend of the currently detected LH value compared with the previously detected LH value according to the numerical interval of the currently detected LH value and the numerical interval of the previously detected LH value recorded in the detection record.

In one embodiment, in order to effectively determine the variation trend, the inventor divides the numerical interval of the LH value into 6 intervals in the process of implementing the present invention, including:

Thus, different value intervals correspond to different levels of the LH value level, for example, the first value interval indicates that the LH value is extremely low, and the interval is unlikely to peak. The second interval of values indicates a lower LH value, and so on.

After the numerical interval exists, a variation trend can be determined based on the numerical interval, specifically, whether the variation trend of the LH value is matched with a preset variation trend for determining the ovulation characteristics is determined, which specifically includes:

if the currently detected LH value is in the second numerical value interval or the third numerical value interval and the previously detected LH value is in any one of the fourth numerical value interval, the fifth numerical value interval and the sixth numerical value interval, determining that the change trend of the LH value is matched with the preset change trend for determining the ovulation characteristics: otherwise, when the currently detected LH value is in the second numerical value interval or the third numerical value interval but the last detected LH value is not in any numerical value interval of the fourth numerical value interval, the fifth numerical value interval and the sixth numerical value interval, the LH value is not matched;

That is, whether ovulation occurs can be determined by the numerical interval of the currently detected LH value and the previously detected LH value, and the method is simple, convenient and easy to implement.

In one embodiment, if the variation trend of the LH value does not match a preset variation trend for determining the ovulation occurrence characteristic, determining a recommended detection time for subsequent detection as a subsequent operation suggestion according to the currently detected LH value, specifically including:

In this way, based on the currently detected LH value and the last detected LH value, it is possible to clarify how to detect subsequently. Moreover, the subsequent detection is made based on the actual situation, so the subsequent operation proposal is more meaningful and practical.

In an embodiment of the present invention, for example, to better guide a user to perform subsequent detection, the method further includes: and adjusting the recommended detection time of subsequent detection according to the detection value of the currently detected physiological index. For example, if the currently detected LH value is in the second value interval, determining that the subsequent operation recommendation includes detecting once every 3 days from the current detection time; and if the LH value detected next time is in the third numerical interval, determining the subsequent detection as once every 1 day. Thus, the subsequent detection is determined according to the result of the current detection, and has detection suggestions with practical application significance.

In one embodiment, more follow-up operation suggestions are further given, so as to guide the user to perform follow-up operations. In the embodiment of the invention, if the change trend of the LH value is not matched with the preset change trend for determining the ovulation occurrence characteristic, the currently detected LH value is in the specified numerical range, and the currently detected LH value is higher than the last detected LH value, the determining of the follow-up operation suggestion further comprises the step of indicating that ovulation has occurred if the follow-up detection of the LH value is reduced. Therefore, by determining the characteristics of ovulation, the user can know the situation which indicates that the ovulation occurs, and the user can reasonably arrange the affairs according to the situation.

In an embodiment of the present invention, in order to further improve the application experience of the user, if the detection record is empty, a level of the currently detected LH value may also be given, where a higher value of LH corresponds to a higher level. In this way, the user can not only know the level of the current LH value, but also determine whether frequent detection is needed subsequently according to the level. Thus, this suggestion is also instructive to the user.

In one embodiment, the recommended detection time is effectively displayed, so that a user can intuitively know the follow-up operation suggestion. In the embodiment of the present invention, outputting the subsequent operation suggestion specifically includes: the number of subsequent detections whose recommended detection time belongs to the same date is counted and output in the corresponding date of the corresponding calendar page. As shown in fig. 3, if 2016.06.23 days require 3 detections, it is displayed on that date. Thus, the user can know which day needs to be detected and the number of times of detection through the calendar.

Wherein, in one embodiment, the information of when to detect is given for further more humanization, so as to enable the user to conveniently know. In the embodiment of the invention, the detection identifier of each subsequent detection can be displayed on the corresponding date in the calendar in a first highlighting mode. As shown in fig. 4, the needle-shaped icon before the word "suggest detection" in the figure is an effect diagram of the detection marks, and one detection mark in the calendar indicates that one detection is required. As can be seen from fig. 4, the detection mark is clear and eye-catching, and the user can pay attention to the mark unconsciously, and pay attention to the detection on which day and the number of detections. This makes the recommended detection time expression for subsequent detection in subsequent operation recommendations more intuitive and humanized.

In an embodiment of the present invention, in order to facilitate user management, a detection log of a user is formed, in an embodiment of the present invention, a detection identifier may have different states, and the method further includes:

step E1: and determining whether the physiological index detection value of the user is obtained within a preset detection time period taking the detection time corresponding to the subsequent detection as a reference or not aiming at each subsequent detection in the subsequent operation suggestion.

For example, if the time of one subsequent detection is 2016.6.23 am at 10 am, the preset detection time period may be 2016.6.23 am at 9:00:00-11:00: 00. That is, the preset detection period may be 2 hours. Of course, the specific implementation can be determined according to actual needs, and the present invention is not limited to this.

Step E2: if not, determining that the user does not implement the detection at the detection time corresponding to the subsequent detection; and updating the detection identifier corresponding to the detection time corresponding to the subsequent detection from the first state to the second state.

If not, it indicates that the user does not perform detection, so the corresponding detection flag may be updated to the second state, which may be used to indicate that detection should be performed but that the user does not perform detection. For example, as shown in fig. 5, the detection flag of 20 days and 22 days is updated to light color to indicate that no detection is performed. So that the user can know whether the detection is carried out or not through the detection identification.

Step E3: and if the detection time is acquired, updating the detection identifier corresponding to the detection time corresponding to the subsequent detection from the first state to a third state.

For example, in fig. 5, the detection flag of No. 19 is filled with a color indicating that detection is performed. While number 23 (i.e., "day" in the calendar of fig. 5) is the test that needs to be performed, its test flag does not change.

Of course, in the specific implementation, the detection flag may have only two states, for example, the state of the detection flag that has been implemented on the past date and has to be detected in the future is not changed, but the state of the detection flag that has not been implemented on the past date is changed, so that the user can also know the detection situation. Therefore, the specific implementation can be set according to actual requirements, and the invention is not limited to this.

In an embodiment, the recommended detection time of the subsequent detection is adjusted according to the detected value of the currently detected physiological index, which may be embodied as adjusting the number and the corresponding time of the detection marks of the subsequent detection according to the detected value of the currently detected physiological index. That is, when the recommended detection time for the subsequent detection is re-determined according to the currently detected physiological indicator detection value, the positions and the number of the detection marks on the corresponding calendar are changed again so as to match the recommended detection time for the subsequent detection re-determined according to the currently detected physiological indicator detection value. For example, when it is determined that 19 needs to be detected once according to the detected LH value, 19 in the calendar displays one detection mark, and when it is determined that 19 needs to be detected 3 times according to the detected LH value, 3 detection marks are displayed in 19 in the calendar. In this way, the subsequent detection is updated according to the results of the previous and subsequent detections.

In one embodiment, the value is detected according to the currently detected physiological index, and the further adjustment is not limited to include the recommended detection time. Specifically, the follow-up operation suggestion comprises a follow-up operation suggestion at a first time and a follow-up operation suggestion at a second time; the subsequent adjustment may be to adaptively adjust the subsequent operation suggestion corresponding to the second time according to the detected value of the physiological index when the detected value of the physiological index corresponding to the first time of the user is obtained. The first time and the second time may be time points or time intervals. Therefore, when a plurality of subsequent detections exist, the adjustment of the subsequent operation suggestion according to the current physiological index detection value can be realized, namely, the real-time adjustment of the subsequent operation is realized according to the actual condition. So that subsequent operation suggestions are more accurate.

Wherein, in one embodiment, to assist a user in performing the detection, the method further comprises: determining reminding time according to the recommended detection time in the follow-up operation suggestion; and outputting a prompt for prompting the user to detect when the reminding time is up. For example, if the detection is required for 22 days in 6 months, the reminding is performed at a reasonable time, for example, the reminding is performed at 7:00 a.m., so that the user can prepare for the detection when going out for work. Of course, in specific implementation, the specific reminding time may also be set according to actual needs, for example, the reminding is performed according to the reminding time input by the user, which is not limited in the present invention.

In one embodiment, if it is determined whether the variation trend of the LH value matches a predetermined variation trend for determining the occurrence of ovulation characteristics, the method further comprises: and if the date of the detection is matched with the date of the ovulation, determining the current detection date as the ovulation date. Outputting the subsequent operation suggestion, specifically including: the day of ovulation is displayed in a calendar in a second highlighted manner. For example, as shown in fig. 6, the ovulation day number 22 is highlighted, so that the user can easily know which day is the ovulation day.

Wherein, in one embodiment, to facilitate the user in determining whether the user is pregnant, the method further comprises:

step F1: and receiving the information of the same house which represents the same house.

Step F2: analyzing the date of the same house from the information of the same house, and determining that the identifier of the same house representing the same house is displayed in the corresponding date of the calendar.

For example, as shown in fig. 6, after the user selects a date, the control 3 may select a same room, which indicates that the selected date is the same room date. For example, the selected date is number 19. Then the emerging logo can be displayed as a roomy identity at 19.

Step F3: and determining HCG recommended detection time for subsequent detection of HCG value of human chorionic gonadotropin according to the date of the same room carried in the information of the same room, and outputting the time.

In specific implementation, the detection identifier may be referred to for output, and certainly, the identifier used for indicating the HCG recommended detection time is different from the identifier used for detecting the LH value, so that the user may know what kind of detection is performed through the identifier.

In one embodiment, to further help the user to understand the physiological index condition of the user, the method further includes:

step G1: start information indicating a start of a menstrual period and end information indicating an end of the menstrual period are received.

For example, as shown in fig. 6, the user may select day 11 in the calendar and then input end information indicating the end of menstruation through the control 2. The operation of the start information of menstruation starts similarly, and will not be described herein.

Step G2: and displaying an identifier indicating that the user is in the menstrual period in the calendar according to the period start information and the period end information.

For example, as shown in fig. 6, days 6 to 10 marked with open circles are menstruation periods determined based on the start information and the end information input by the user. The hollow circle is the mark indicating that the user is in the menstrual period. Of course, in practice, other marks may be used to indicate the menstruation period, and the present invention is not limited thereto.

In an embodiment, in order to facilitate the user to supervise and record the physiological index status of the user, in an embodiment of the present invention, the method further includes: receiving input information of a user for executing a predetermined behavior; and outputting an operation suggestion for detecting the second physiological index according to the input information for executing the predetermined action.

That is, the user can manage a plurality of physiological indexes, such as managing physiological indexes of hypertension, hyperlipidemia, and the like. Of course, the second physiological index may be a physiological index associated with the first physiological index. For example, for a disease, multiple physiological indicators need to be monitored, and these multiple physiological indicators can be referred to as associated physiological indicators.

In summary, in the embodiment of the present invention, the follow-up operation suggestion of the user may be obtained based on the currently detected physiological index detection value and a preset analysis template corresponding to the currently detected physiological index. Therefore, the embodiment of the invention does not need to determine the subsequent detection time according to the occurrence time of the specific event, and gives the subsequent operation suggestion based on the currently detected detection value. Therefore, the follow-up operation suggestion is given based on the actual situation instead of the assumed situation, and the accuracy of the follow-up operation suggestion is remarkably improved. In addition, the follow-up operation suggestion can also give corresponding information of the actual requirements of the user according to different physiological indexes, and better experience can be further brought to the user.

Furthermore, subsequent operating suggestions, such as which day needs to be detected and the number of detections, can be communicated to the user by a reasonable display. In addition, the system also has the additional function of managing the physiological indexes and the related conditions. The user does not need to spend the time of mental memory detection and the like, so that the application experience of the user can be further improved.

Example two

The following takes LH value detection as an example and 6 value intervals as an example to further explain the data analysis method based on electronic devices provided by the embodiment of the present invention, as shown in fig. 7, the method includes the following steps:

step 701: a currently detected LH value of the user is obtained.

Step 702: it is determined whether the currently detected LH value is less than a preset minimum value or higher than a preset maximum value.

Step 703: if it is less than the preset minimum value, it is determined that the subsequent operation recommendation includes an LH value at a lower level, the recommendation is now started to be detected every 1-2 days, and a change in the LH value is observed.

Step 704: if it is greater than the preset maximum value, it is determined that the subsequent operation recommendation includes that the LH value is near the peak value, the recommendation is now to start detecting once every 2 hours, and if the subsequent detection of the LH value falling, the room is met within 12 hours from the observation of the LH value falling.

Step 705: and if the currently detected LH value is not less than the preset lowest value and not more than the preset highest value, searching a detection record of the LH value, wherein the detection record is used for storing the LH value obtained by each detection.

Step 706: if the detection record is empty, giving the level grade of the currently detected LH value, and if the currently detected LH value is in the interval from the first numerical value to the fourth numerical value, suggesting that the detection is started once a day now; if the currently detected LH value is in the fifth interval, it is recommended that the detection now starts every 4 hours.

Step 707: if the detection record is not empty, executing the following operations:

when the currently detected LH value is in the second numerical value interval, if the LH value detected last time is in the first or second numerical value interval, determining that the subsequent operation suggestion includes that the LH value is relatively stable, and detecting for 1 time every 1 to 2 days; if the LH value detected last time is in the third numerical interval, determining that the follow-up operation suggestion includes that the LH value has a descending trend, and detecting for 1 time every 1 to 2 days; if the LH value detected last time is in the fourth to sixth numerical value interval, determining that the LH value falls back to the common level within 24 hours after the subsequent operation suggestion includes ovulation, and arranging the same room;

when the currently detected LH value is in a third numerical interval, if the LH value detected last time is in a first or second numerical interval, determining that a follow-up operation suggestion includes that the LH value has an ascending trend, and detecting for at least 1 time every day in 3-5 days in the future; if the LH value detected last time is in a third numerical interval, determining that the follow-up operation suggestion includes that LH is stable, and detecting for at least 1 time every day in 3-5 days in the future; if the LH value detected last time is in the fourth numerical interval, determining that the LH value falls back to the common level within 24 hours after the subsequent operation suggestion includes ovulation, and arranging the same room; if the LH value detected last time is in the fifth or sixth numerical interval, determining that the follow-up operation suggestion comprises that the LH value is sharply decreased, the LH value falls back to the common level within 24 hours of ovulation occurrence, and please arrange for the same room within 12 hours;

when the currently detected LH value is in a fourth numerical interval, if the last detected LH value is in a first numerical interval to a third numerical interval, determining that a follow-up operation suggestion includes that the LH value is in a significant ascending trend, detecting once every 4 hours at present, and when the LH value is observed to reach a peak value level and then begins to fall back, ovulation occurs and the two animals are in the same room during the ovulation period; if the LH value detected last time is in the fourth numerical interval to the sixth numerical interval and the LH value detected this time is smaller than the LH value detected last time, determining that the follow-up operation suggestion includes arranging for the same house within 12 hours; if the LH value detected this time is larger than the LH value detected last time, determining that the follow-up operation suggestion includes that the LH value is in a significant ascending trend, detecting once every 4 hours at present, and when the LH value is observed to reach a peak value level and then begins to fall back, ovulation occurs and the two animals are in the same room in the ovulation period;

when the currently detected LH value is in a fifth interval, if the LH value detected last time is in a first numerical interval to a fourth numerical interval, determining that the follow-up operation suggestion comprises detecting once from 2 to 4 hours from the current time, and suggesting that the user can meet the room within 24 hours when the LH value is observed to decline; if the last detected LH value is in the fifth or sixth numerical interval and the current detected LH value is smaller than the last detected LH value, the follow-up operation suggestion includes the room sharing within 12 hours.

In one embodiment, in order to facilitate the user to know whether ovulation occurs and the detailed stage of ovulation, in the embodiment of the present invention, more detailed ovulation information may be given by combining the time difference between the current detection and the last detection, specifically:

when the currently detected LH value and the previously detected LH value are both in the fourth numerical value interval, if the time length from the previous detection is less than 4 hours and the currently detected LH value is less than the previously detected LH value, determining that the LH value is in a descending trend, and generally, the LH value can obviously fall back within 24 hours of ovulation occurrence and possibly is in an ovulation period;

if the time length from the last detection is longer than 4 hours, the LH value detected this time is smaller than the LH value detected last time, and the difference between the LH value and the LH value is smaller than 10, determining that the LH has no obvious change compared with the last detection, possibly ovulation occurs, and the LH value is in a falling state; and if the difference value of the two is more than 10, determining that the LH value is in a descending trend compared with the last detection, and generally determining that the LH value falls back obviously within 24 hours of ovulation and determining that ovulation possibly occurs.

It should be noted that, when the phases of ovulation are definitely determined to be different, the time length for suggesting the same room arrangement may be different, that is, the first preset time length for suggesting the same room arrangement in the foregoing embodiment may be adjusted according to the actual situation.

Step 708: and outputting the follow-up operation suggestion.

The method for outputting the subsequent operation suggestion is already described in the embodiment, and is not described herein again.

In summary, the embodiment of the present invention can provide a subsequent operation suggestion in combination with the currently detected LH value, thereby significantly improving the accuracy of the subsequent operation suggestion. And moreover, the subsequent detection time can be given and adjusted according to the detection result, so that the user can be better guided to carry out detection.

Exemplary device

Having described the method of the exemplary embodiment of the present invention, the apparatus for data analysis of the exemplary embodiment of the present invention will be described next with reference to fig. 8 to 10.

As shown in fig. 8, which is a schematic structural diagram of a data analysis apparatus according to an embodiment of the present invention, the apparatus includes:

an obtaining module 801, configured to obtain a currently detected physiological index detection value of a user;

a first suggestion determining module 802, configured to obtain a subsequent operation suggestion of the user according to a currently detected physiological indicator detection value and a preset analysis template corresponding to the currently detected physiological indicator;

an output module 803, configured to output the subsequent operation suggestion.

Wherein, in one embodiment, the follow-up operation suggestion comprises a follow-up operation suggestion at a first time and a follow-up operation suggestion at a second time;

the device further comprises:

and the suggestion adjusting module 804 is configured to, when the physiological index detection value corresponding to the first time is obtained, adjust a subsequent operation suggestion corresponding to the second time according to the physiological index detection value.

Wherein, in one embodiment, the follow-up action recommendation includes a recommended detection time for at least two follow-up detections.

Wherein, in one embodiment, the apparatus further comprises:

the recommended detection time adjusting module 805 is configured to adjust recommended detection time for subsequent detection according to a detected value of the currently detected physiological indicator.

In an embodiment, the first suggestion determining module 802 specifically includes:

a searching unit 806, configured to search a detection record of the LH value, where the detection record is used to store the LH value obtained by each detection;

a variation trend determination unit 807 for determining a variation trend of the LH value according to the currently detected LH value and the detection record if the detection record is not empty;

the matching unit 808 is used for determining whether the change trend of the LH value is matched with the preset change trend for determining the ovulation characteristics;

a first suggestion determining unit 809, configured to determine that the subsequent operation suggestion includes the recommended time of the same room if the two suggestions are matched;

and a second suggestion determining unit 810, configured to determine, if the detected LH values do not match, a recommended detection time for subsequent detection as a subsequent operation suggestion according to the currently detected LH value.

Wherein, in one embodiment, the apparatus further comprises:

and a second suggestion determining module 811, configured to determine, if the detection record is empty, a recommended detection time for a subsequent detection as a subsequent operation suggestion according to the currently detected LH value.

Wherein, in one embodiment, the apparatus further comprises:

a first determining module 812, configured to determine whether the currently detected LH value is smaller than a preset lowest value before the search unit searches for the detection record of the LH value;

a third suggestion determination module 813 for determining that the subsequent operation suggestion includes a subsequent detection at the first time interval from the second designated time if less than the preset minimum value;

a fourth suggestion determination module 814, configured to trigger the search unit to perform the step of searching for the detection record of the LH value if the value is not less than the preset lowest value.

Wherein, in one embodiment, the apparatus further comprises:

a second determining module 815, configured to determine whether the currently detected LH value is greater than a preset highest value before the searching unit searches for the detection record of the LH value;

a fifth suggestion determining module 816, configured to determine, if the value is greater than the preset highest value, that the subsequent operation suggestion includes that the house is shared within the first preset duration from the observation of the drop of the LH value if the subsequent drop of the LH value is detected;

a sixth suggestion determining module 817, configured to trigger the lookup unit to perform the step of looking up the detection record of the LH value if the value is smaller than the preset highest value.

Wherein, in one embodiment, the trend of the ovulation characteristics includes a decrease in the currently detected LH value by a specified value compared to the last detected LH value.

In an embodiment, the trend determining unit 807 is specifically configured to:

Wherein, in one embodiment, the interval of the value of the LH value comprises:

In an embodiment, the matching unit 808 specifically includes:

In an embodiment, the second suggestion determining unit 810 is specifically configured to:

Wherein, in one embodiment, the apparatus further comprises:

a seventh suggestion determining module 818, configured to determine that the subsequent operation suggestion further includes that ovulation has occurred if a drop in the LH value is subsequently detected, if the change trend of the LH value does not match the preset change trend for determining the ovulation occurrence characteristic, and the currently detected LH value is within the specified value interval and the currently detected LH value is higher than the last detected LH value.

Wherein, in one embodiment, the apparatus further comprises:

an eighth suggestion determination module 819 is configured to, if the detection record is empty, give a level at which the currently detected LH value is located, where a higher value of LH corresponds to a higher level.

In an embodiment, the output module 803 is specifically configured to:

Wherein, in one embodiment, the apparatus further comprises:

and a first display module 820 for displaying the detection identifier of each subsequent detection on the corresponding date in the calendar in a first highlighting manner.

Wherein, in one embodiment, the apparatus further comprises:

the second display module 821 is configured to determine, for each subsequent detection in the subsequent operation suggestion, whether a detection time corresponding to the subsequent detection is a preset detection time period based on the detection time of the subsequent detection is obtained or not to obtain a physiological index detection value of the user;

a first updating module 822, configured to determine that the user does not perform detection at the detection time corresponding to the subsequent detection if the user does not perform detection; updating the detection identifier corresponding to the detection time corresponding to the subsequent detection from the first state to the second state;

the second updating module 823 is configured to update the detection identifier corresponding to the detection time corresponding to the subsequent detection from the first state to the third state if the detection identifier is obtained.

Wherein, in one embodiment, the apparatus further comprises:

the ovulation day determining module 824 is configured to determine the currently detected detection date as an ovulation day if the change trend determining unit determines that the change trend of the LH value matches a preset change trend for determining the ovulation occurrence characteristic;

the output module 802 is specifically configured to display the ovulation day in the calendar in a second highlighting.

Wherein, in one embodiment, the apparatus further comprises:

a user behavior information receiving module 825, configured to receive input information of a user performing a predetermined behavior;

and a second physiological index detection suggestion output module 826, configured to output an operation suggestion for detecting the second physiological index according to the input information for performing the predetermined action.

Wherein, in one embodiment, the apparatus further comprises:

a co-room information receiving module 827 for receiving co-room information indicating that a co-room has been shared;

the same-room identifier display module 828 is configured to analyze a same-room date from the same-room information, and determine that a same-room identifier indicating the same room is displayed in a corresponding date of the calendar;

the HCG detection information output module 829 is configured to determine and output an HCG recommended detection time for subsequent HCG value detection of human chorionic gonadotropin according to the date of the same room carried in the information of the same room.

Wherein, in one embodiment, the apparatus further comprises:

a menstruation information receiving module 830 for receiving start information indicating the start of a menstruation period and end information indicating the end of the menstruation period;

and the menstruation information display module 831 is used for displaying an identifier indicating that the user is in the menstruation period in the calendar according to the menstruation period starting information and the menstruation period ending information.

Wherein, in one embodiment, the apparatus further comprises:

a reminding time determining module 832, configured to determine a reminding time according to the recommended detection time in the subsequent operation suggestions;

and a reminding module 833, configured to output a prompt for reminding the user to perform detection when the reminding time is reached.

Wherein, in one embodiment, the apparatus further comprises:

the recommended detection time adjusting module 805 is configured to adjust the number of detection identifiers and the corresponding time for subsequent detection according to the detected value of the currently detected physiological index.

Having described the method and apparatus of an exemplary embodiment of the present invention, next, a data analysis apparatus according to another exemplary embodiment of the present invention is described.

As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.

In some possible embodiments, the data analysis device according to the invention may comprise at least one processing unit, and at least one memory unit. Wherein the storage unit stores program code that, when executed by the processing unit, causes the processing unit to perform various steps in the data analysis method according to various exemplary embodiments of the present invention described in the above section "exemplary method" of the present specification. For example, the processing unit may execute step 201 shown in fig. 2, obtain a detected value of a currently detected physiological indicator of a user, and obtain a subsequent operation suggestion of the user according to the detected value of the currently detected physiological indicator and a preset analysis template corresponding to the currently detected physiological indicator, step 202; and step 203, outputting the follow-up operation suggestion.

The data analysis device 90 according to this embodiment of the present invention is described below with reference to fig. 9. The data analysis apparatus shown in fig. 9 is merely an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.

As shown in fig. 9, the data analysis device 90 may be embodied in the form of a general purpose computing device, which may be, for example, a server device. The components of the data analysis device 90 may include, but are not limited to: the at least one processing unit 91, the at least one memory unit 92, and a bus 93 connecting the various system components (including the memory unit 92 and the processing unit 91).

Bus 93 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a processor, or a local bus using any of a variety of bus architectures.

The storage unit 92 may include readable media in the form of volatile memory, such as Random Access Memory (RAM)921 and/or cache memory 922, and may further include Read Only Memory (ROM) 923.

Storage unit 92 may also include programs/utilities 925 having a set (at least one) of program modules 924, such program modules 924 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.

The data analysis apparatus 90 may also communicate with one or more external devices 94 (e.g., keyboard, pointing device, etc.), with one or more devices that enable a user to interact with the data analysis apparatus 90, and/or with any device (e.g., router, modem, etc.) that enables the data analysis apparatus 90 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 95. Also, the data analysis device 90 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via a network adapter 96. As shown, the network adapter 96 communicates with the other modules of the data analysis device 90 via a bus 93. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the data analysis device 90, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

Exemplary program product

In some possible embodiments, aspects of the present invention may also be implemented as a program product including program code for causing a server device to perform steps of the method according to various exemplary embodiments of the present invention described in the above section "exemplary method" of this specification when the program product is run on the server device, for example, the server device may perform step 201 as shown in fig. 2, obtain a currently detected physiological index detection value of a user, step 202, obtain a subsequent operation suggestion of the user according to the currently detected physiological index detection value and a preset analysis template corresponding to the currently detected physiological index; and step 203, outputting the follow-up operation suggestion.

The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

As shown in fig. 10, a program product 100 for request control of data analysis according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a server device. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

A readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device over any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., over the internet using an internet service provider).

It should be noted that although several units or sub-units of the apparatus are mentioned in the above detailed description, such division is merely exemplary and not mandatory. Indeed, the features and functions of two or more of the units described above may be embodied in one unit, according to embodiments of the invention. Conversely, the features and functions of one unit described above may be further divided into embodiments by a plurality of units.

Moreover, while the operations of the method of the invention are depicted in the drawings in a particular order, this does not require or imply that the operations must be performed in this particular order, or that all of the illustrated operations must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.

While the spirit and principles of the invention have been described with reference to several particular embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, nor is the division of aspects, which is for convenience only as the features in such aspects may not be combined to benefit. The invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

Claims

1. A data analysis method based on electronic equipment comprises the following steps:

acquiring a currently detected physiological index detection value of a user;

outputting the follow-up operation suggestion;

the value of the physiological index is an LH value of luteinizing hormone; obtaining a subsequent operation suggestion of the user according to a currently detected physiological index detection value and a preset analysis template corresponding to the currently detected physiological index, wherein the subsequent operation suggestion specifically comprises the following steps:

if the detection record is not empty, determining the change trend of the currently detected LH value compared with the previously detected LH value according to the numerical value interval of the currently detected LH value and the numerical value interval of the previously detected LH value recorded in the detection record;

if the currently detected LH value is in the second numerical value interval or the third numerical value interval and the previously detected LH value is in any one of the fourth numerical value interval, the fifth numerical value interval and the sixth numerical value interval, determining that the change trend of the LH value is matched with the preset change trend for determining the ovulation characteristics: otherwise, determining that the change trend of the LH value is not matched with the preset change trend for determining the ovulation characteristics; or if the currently detected LH value is in any one of the fourth numerical interval, the fifth numerical interval and the sixth numerical interval and is smaller than the LH value detected last time, determining that the change trend of the LH value is matched with the preset change trend for determining the ovulation characteristics; otherwise, determining that the change trend of the LH value is not matched with the preset change trend for determining the ovulation characteristics;

the interval value is greater than or equal to a preset lowest value and smaller than a first preset value; a third value interval, wherein the value of the interval is greater than or equal to the first preset value and smaller than the second preset value; a fourth value interval, wherein the value of the interval is greater than or equal to the second preset value and smaller than the third preset value; a fifth numerical interval, wherein the numerical value of the interval is greater than or equal to a third preset value and less than or equal to a preset highest value; a sixth numerical interval, the numerical value of which is greater than the preset maximum value;

if the change trend of the LH value is matched with the preset change trend for determining the ovulation characteristics, determining that the follow-up operation suggestion comprises the intercourse recommended time;

if the change trend of the LH value is not matched with the preset change trend for determining the ovulation characteristics, determining the recommended detection time of subsequent detection as a subsequent operation suggestion according to the currently detected LH value;

the method further comprises the following steps:

receiving information indicating that the user has shared the house;

2. The method of claim 1, the follow-up action recommendation comprising a follow-up action recommendation at a first time and a follow-up action recommendation at a second time;

the method further comprises the following steps:

3. The method of claim 1, the follow-up action recommendation comprising a recommended detection time for at least two follow-up detections.

4. The method of claim 3, further comprising:

5. The method of claim 1, further comprising:

6. The method as claimed in claim 1, before looking up the detection record of the LH value, the method further comprising:

if not, executing the step of searching the detection record of the LH value.

7. The method as claimed in claim 1, before looking up the detection record of the LH value, the method further comprising:

8. A method according to any one of claims 1 to 7, wherein the trend of the ovulation signature includes a reduction in the currently detected LH value by a specified value compared to the last detected LH value.

9. The method according to claim 1, wherein if the variation trend of the LH value does not match a preset variation trend for determining the ovulation occurrence characteristic, determining a recommended detection time for subsequent detection as a subsequent operation suggestion according to the currently detected LH value, specifically comprising:

10. The method according to any one of claims 1-7, the method further comprising:

11. The method of claim 1, further comprising:

12. The method according to claim 2 or 3, wherein outputting the follow-up operation suggestion specifically comprises:

13. The method of claim 2 or 3, further comprising:

14. The method of claim 13, further comprising:

15. The method of claim 1, after determining whether the change trend of LH value matches a preset change trend for determining ovulation characteristics, further comprising:

outputting the follow-up operation suggestion, specifically comprising

The day of ovulation is displayed in a calendar in a second highlighted manner.

16. The method of claim 1, further comprising:

receiving input information of a user for executing a predetermined behavior;

17. The method of claim 1, further comprising:

18. The method of claim 3, further comprising:

19. The method of claim 13, further comprising:

and adjusting the number and the corresponding time of the detection marks of the subsequent detection according to the detection value of the currently detected physiological index.

20. A data analysis apparatus comprising:

an output module for outputting the follow-up operation suggestion;

the value of the physiological index is an LH value of luteinizing hormone; the first suggestion determination module specifically includes:

the change trend determining unit is used for determining the change trend of the currently detected LH value compared with the LH value detected last time according to the numerical value interval of the currently detected LH value and the numerical value interval of the LH value detected last time in the detection record if the detection record is not empty;

the second suggestion determining unit is used for determining the recommended detection time of the subsequent detection as a subsequent operation suggestion according to the currently detected LH value if the LH values are not matched;

the matching unit specifically includes:

the trend determination second subunit is used for determining that the change trend of the LH value is matched with the preset change trend for determining the ovulation characteristics if the currently detected LH value is in any one of the fourth numerical interval, the fifth numerical interval and the sixth numerical interval and is smaller than the LH value detected last time; otherwise, not matching;

the device further comprises:

21. The apparatus of claim 20, the follow-up action recommendation comprising a follow-up action recommendation at a first time and a follow-up action recommendation at a second time;

the device further comprises:

22. The apparatus of claim 20, the subsequent operation suggestion to comprise a recommended detection time of at least two subsequent detections.

23. The apparatus of claim 22, the apparatus further comprising:

24. The apparatus of claim 20, the apparatus further comprising:

25. The apparatus of claim 20, the apparatus further comprising:

26. The apparatus of claim 20, the apparatus further comprising:

27. An apparatus as claimed in any of claims 20 to 26, wherein the trend of the ovulation signature includes a reduction in the currently detected LH value by a specified value compared to the last detected LH value.

28. The apparatus of claim 20, the second suggestion determination unit, to be used in particular to:

29. The apparatus of any of claims 20-26, further comprising:

30. The apparatus of claim 20, the apparatus further comprising:

31. The apparatus according to claim 21 or 22, wherein the output module is specifically configured to:

32. The apparatus of claim 21 or 22, further comprising:

33. The apparatus of claim 32, the apparatus further comprising:

34. The apparatus of claim 20, the apparatus further comprising:

35. The apparatus of claim 20, the apparatus further comprising:

36. The apparatus of claim 20, the apparatus further comprising:

37. The apparatus of claim 21, the apparatus further comprising:

38. The apparatus of claim 32, further comprising:

39. A data analysis apparatus comprising at least one processing unit and at least one memory unit, wherein the memory unit stores program code which, when executed by the processing unit, causes the processing unit to carry out the steps of the method according to any one of claims 1 to 19.

40. A computer readable storage medium comprising program code means for causing a data analysis apparatus to carry out the steps of the method as claimed in any one of claims 1 to 19 when said program code means is run on said data analysis apparatus.