CN112233816A - Health monitoring method, device and computer readable medium - Google Patents
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Abstract
The embodiment of the application discloses a health monitoring method, which comprises the following steps: acquiring health monitoring data of at least one tested user, and correspondingly storing a user identifier of the tested user and the health monitoring data; in response to the condition of a health monitoring data query instruction, searching target health monitoring data corresponding to a target user identifier from the stored health monitoring data, and sending the searched target health monitoring data to an evaluation terminal; under the condition of responding to a data analysis instruction, inputting the stored health monitoring data corresponding to each user identification into a health evaluation model, and acquiring a health evaluation result; and under the condition that the health evaluation result is an abnormal result, sending the health evaluation result which is the abnormal result and the corresponding user identification to the evaluation terminal. The method not only improves the standard management rate, the treatment rate and the control rate of people suffering from chronic diseases, but also can improve the timely intervention on unhealthy conditions.
Description
Technical Field
The present application relates to the field of health information management technologies, and in particular, to a health monitoring method and apparatus, an electronic device, and a computer-readable medium.
Background
According to statistics, the number of chronic disease patients in China currently exceeds 3 hundred million, the number of chronic disease deaths accounts for 80% of the number of chronic disease deaths in China, and the disease burden accounts for 70% of the total disease burden. Meanwhile, chronic diseases such as diabetes have a trend of younger development, and the chronic diseases such as diabetes have a trend of younger development and are seriously influenced, so that the life quality and the physical health of residents are seriously influenced. In order to effectively prevent and treat chronic diseases, in recent years, the investment and support for chronic disease management are gradually increased in China.
The existing chronic disease management system based on the Internet also has the problems of unsatisfactory electronic file filing condition, lack of intelligent risk factor evaluation strategy, limited popularization range of chronic disease websites and related application programs and the like, and can not comprehensively meet the hospital management needs of chronic diseases and the health needs of patients.
Disclosure of Invention
The embodiment of the application provides a health monitoring method and a health monitoring device, which not only improve the standard management rate, the treatment rate and the control rate of people with chronic diseases, but also improve the timely intervention on unhealthy conditions so as to avoid condition deterioration.
The application provides a health monitoring method, which comprises the following steps:
acquiring health monitoring data of at least one tested user, and correspondingly storing a user identifier of the tested user and the health monitoring data;
in response to the condition of a health monitoring data query instruction, searching target health monitoring data corresponding to a target user identifier from the stored health monitoring data, and sending the searched target health monitoring data to an evaluation terminal;
under the condition of responding to a data analysis instruction, inputting the stored health monitoring data corresponding to each user identification into a health evaluation model, and acquiring a health evaluation result output by the health evaluation model; the health assessment model is obtained by training sample data, wherein the sample data comprises sample data of a health sample and sample data of a patient sample;
and under the condition that the health evaluation result is an abnormal result, sending the health evaluation result which is the abnormal result and the corresponding user identification to the evaluation terminal.
In some embodiments, the obtaining health monitoring data uploaded by at least one tested user terminal includes:
acquiring a monitoring moment corresponding to health monitoring data of at least one detected user;
if the health monitoring data uploaded by the data monitoring terminal of the detected user is not received after the current moment exceeds the monitoring moment, sending monitoring prompt information to the evaluation terminal to which the detected user identifier belongs; and
and sending health monitoring data to the prompt of the tested user through the data monitoring terminal.
In some embodiments, the obtaining of the monitoring time corresponding to at least one measured user terminal includes:
acquiring a monitoring frequency corresponding to at least one data monitoring terminal of the tested user and a sending time of last health monitoring data sent by the data monitoring terminal of the tested user;
determining the monitoring time of the data monitoring terminal of the detected user according to the monitoring frequency and the sending time;
the sending of monitoring prompt information to the data monitoring terminal of the detected user includes:
acquiring the unsent time length from the sending time to the current time, and determining the information prompt strength according to the unsent time length;
and sending monitoring prompt information corresponding to the information prompt strength to the data monitoring terminal of the detected user.
In some embodiments, the determining the strength of the information prompt according to the unsent time length includes:
determining the ratio of the unsent time length to the frequency time length corresponding to the monitoring frequency as an intensity coefficient;
and determining a target interval corresponding to the intensity coefficient in the pre-divided intensity intervals, and determining the prompt intensity corresponding to the target interval according to the corresponding relation between the intensity interval and the prompt intensity.
In some embodiments, the searching for the target health monitoring data corresponding to the target user identifier from the stored health monitoring data and sending the searched target health monitoring data to the evaluation terminal includes:
under the condition that a data searching request sent by the evaluation terminal is received, searching target health monitoring data corresponding to a target user identifier contained in the data searching request from the stored health monitoring data, and sending the searched target health monitoring data to the evaluation terminal; or
The method comprises the steps of obtaining user grades corresponding to all stored user identifications, determining target user identifications from the stored user identifications according to the user grades, searching target health monitoring data corresponding to the target user identifications contained in the data searching request from the stored health monitoring data, and sending the searched target health monitoring data to the evaluation terminal.
In some embodiments, the obtaining the user grades corresponding to the stored user identifiers and determining the target user identifier from the stored user identifiers according to the user grades includes:
determining a first weight according to the user grade corresponding to each user identifier;
acquiring storage time of health monitoring data corresponding to each user identifier, and determining a second weight corresponding to each user identifier according to the storage time;
and sorting the user identifications according to the superposition value of the first weight and the second weight, and taking the user identification at the head of the sorting as a target user identification.
In some embodiments, after the sending the health assessment result that is an abnormal result and the corresponding user identifier to the assessment terminal, the method further includes:
receiving health guidance data uploaded by the evaluation terminal according to the health evaluation result and the corresponding user identification;
determining an unhealthy type and an unhealthy grade according to the health guidance data, and determining a recommended medical institution list according to the unhealthy type;
acquiring a first geographical position of each diagnosis institution in the recommended diagnosis institution list and a second geographical position of the detected user;
determining a treatment distance according to the first geographical position and the second geographical position;
and determining a recommended treatment institution from the treatment institution list according to the treatment distance and the health grade, and sending the recommended treatment institution and the health guidance data to the user terminal of the tested user.
In some embodiments, a health monitoring device is also presented, the device comprising:
the data acquisition module is used for acquiring health monitoring data of at least one tested user and correspondingly storing a user identifier of the tested user and the health monitoring data;
the data query module is used for responding to the condition of a health monitoring data query instruction, searching target health monitoring data corresponding to a target user identifier from the stored health monitoring data, and sending the searched target health monitoring data to the evaluation terminal;
the evaluation result determining module is used for responding to a data analysis instruction, inputting the stored health monitoring data corresponding to each user identification into a health evaluation model, and acquiring a health evaluation result output by the health evaluation model; the health assessment model is obtained by training sample data, wherein the sample data comprises sample data of a health sample and sample data of a patient sample;
and the data pushing module is used for sending the health evaluation result which is an abnormal result and the corresponding user identification to the evaluation terminal under the condition that the health evaluation result is an abnormal result.
In some embodiments, an electronic device is also presented, comprising a memory having stored thereon computer-executable instructions and a processor that implements the above-described method when executing the computer-executable instructions on the memory.
In some embodiments, a computer-readable storage medium is also proposed, on which a computer program is stored which, when being executed by a processor, carries out the above-mentioned method.
According to the health monitoring method, the health monitoring device, the electronic equipment and the computer readable medium in the embodiment, the searched target health monitoring data is sent to the evaluation terminal by acquiring the health monitoring data of at least one detected user and the user identification thereof; and under the condition that a data analysis instruction is detected, inputting the stored health monitoring data corresponding to each user identification into a health evaluation model, acquiring a health evaluation result output by the health evaluation model, and under the condition that the health evaluation result is an abnormal result, sending the health evaluation result which is the abnormal result and the corresponding user identification to the evaluation terminal. The health monitoring method not only improves the standard management rate, the treatment rate and the control rate of people suffering from chronic diseases, but also improves the timely intervention on unhealthy conditions so as to avoid condition deterioration.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below.
FIG. 1 is a schematic diagram of an application scenario of a health monitoring method in some embodiments;
FIG. 2 is a flow diagram of a health monitoring method in some embodiments;
FIG. 3 is a schematic diagram of a health monitoring device in some embodiments;
fig. 4 is a schematic structural diagram of a health monitoring device in other embodiments.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification of the present application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
The chronic diseases mainly comprise cardiovascular and cerebrovascular diseases, cancers, chronic respiratory diseases, diabetes, oral diseases, endocrine diseases, kidney diseases, bone diseases, nerve diseases and the like. Chronic diseases are a class of diseases seriously threatening the health of residents in China, and become a great public health problem influencing the development of national economy and society. The health monitoring method is realized based on the health evaluation system, and the health evaluation system realizes high cooperation among doctors, patients and various medical institutions through deeper intellectualization, more comprehensive interconnection and intercommunication and more thorough perception and measurement, achieves high movement and sharing of medical information, and really realizes the centering of the patients. As shown in fig. 1, the health assessment system 100 includes a health monitoring server 102, a data monitoring terminal 104, an assessment terminal 106 and a user terminal 108. The health monitoring server 102 may be a main control computer or a cloud server, and the data monitoring terminal 104 includes one or more of a height and weight meter, a blood pressure meter, a blood glucose meter, a lung function meter, an arteriosclerosis detector, a bone density detector, an electrocardiograph, a body composition meter, a waist girth meter, a health touch control all-in-one machine and other data monitoring devices. The evaluation terminal 106 may be an intelligent terminal of a health assessment Application (APP), such as a smart phone, a tablet computer, etc., and a user of the evaluation terminal 106, such as a professional doctor, an escort, a health manager, etc., may query health data of a user under test managed by the user through the evaluation terminal 106, and perform operations such as processing health monitoring data. The health monitoring server 102 may further send the processing data of the evaluation terminal 106 to the user terminal 108, where the user terminal 108 may be an intelligent terminal, such as a smart phone, a tablet computer, and the like, where the intelligent terminal may be installed with a monitoring data display Application (APP), and each implementation device of the health assessment system 100 is not specifically limited.
As shown in fig. 2, based on the health assessment system, the health monitoring method in the embodiment of the present application includes the following steps:
The health monitoring server 102 acquires health monitoring data of a user to be monitored, which is acquired through the data monitoring terminal 104. In this embodiment, the health monitoring server 102 may be at least one of N data monitoring terminals 104, such as a main control computer, a height and weight meter, a blood pressure meter, a blood glucose meter, a lung function meter, an arteriosclerosis detector, a bone density detector, an electrocardiograph, a body composition meter, a waist girth meter, and a health touch control integrated machine, which are controlled by the main control computer. A signal acquisition device is disposed in each data monitoring terminal 104, and is used to acquire monitoring data of the data monitoring terminal 104, where the monitoring data are real-time monitoring data of a detected user, and the detected user may be a patient or a physical user, and is not specifically limited herein, and the data monitoring terminal 104 of each detected user shares a user identifier of the same detected user. The data monitoring terminal 104 may generally implement real-time data transmission with the health monitoring server 102 in a wired or wireless manner, such as a bluetooth, WIFI, 5G network, or direct broadband manner. The data monitoring terminal 104 transmits the monitoring data to the health monitoring server 102, and the health monitoring server 102 cleans the monitoring data, classifies the monitoring data, and stores the user identification of the user to be detected and the corresponding health monitoring data in the database of the health monitoring server 102.
Step 203, in response to the condition of the health monitoring data query instruction, searching target health monitoring data corresponding to the target user identifier from the stored health monitoring data, and sending the searched target health monitoring data to the evaluation terminal.
The health monitoring server 102 receives a health monitoring data query instruction sent by the evaluation terminal 106, where the instruction includes a user identifier of a user to be tested to be queried and a corresponding query item. The health monitoring server 102 searches for target health monitoring data corresponding to the target user identifier from the health monitoring data stored in the database, and sends the searched target health monitoring data to the evaluation terminal 106.
Step 205, in response to a data analysis instruction, inputting stored health monitoring data corresponding to each user identifier into a health assessment model, and obtaining a health assessment result output by the health assessment model; the health assessment model is obtained through sample data training, and the sample data comprises sample data of a health sample and sample data of a patient sample.
Under the condition that the health monitoring server 102 receives a data analysis instruction sent by the evaluation terminal 106, the health monitoring data is input into a preset health evaluation model, and a health evaluation result output by the health evaluation model is obtained; the health assessment model is obtained through sample data training, and the sample data comprises sample data of a health sample and sample data of a patient sample.
The health monitoring data uploaded by the tested user is stored in the health monitoring server 102, the health monitoring server 102 sends the health data of the tested user to an expert of the evaluation terminal 106 for diagnosis, or the health monitoring server 102 can evaluate through artificial intelligence and send the evaluation result to the evaluation terminal.
In the present embodiment, a health assessment model (neural network) is built in the health monitoring server 102, and the health assessment model is obtained by mining, analyzing and training a large amount of sample data, where the sample data includes sample data of a health sample and sample data of a patient sample.
The health monitoring server 102 inputs the monitoring data into a preset health assessment model to obtain a health assessment result according to the monitoring data. For example, by evaluating the blood pressure, blood sugar, blood oxygen, heart rate, body temperature, height, weight, etc. of the user to be tested, health evaluation results including basal metabolism, BMI value, risk factors, etc. are obtained.
The health monitoring server 102 pushes the health evaluation result as an abnormal result to the evaluation terminal
And 106, analyzing and researching the user data by experts, and providing a guidance scheme and a report for preventing and treating diseases.
For example, the expert can make an intervention scheme according to the condition of the detected user according to the abnormal result, and the intervention scheme includes health management interventions such as diet intervention, exercise intervention, psychological intervention, smoking cessation and alcohol limitation, attention points, follow-up plans and the like.
It should be noted that, step 203 and step 205 may be executed sequentially or in parallel, and are not limited herein.
The health monitoring method of the embodiment sends the searched target health monitoring data to the evaluation terminal by acquiring the health monitoring data of at least one detected user and the user identification thereof; and under the condition that a data analysis instruction is detected, inputting the stored health monitoring data corresponding to each user identification into a health evaluation model, acquiring a health evaluation result output by the health evaluation model, and under the condition that the health evaluation result is an abnormal result, sending the health evaluation result which is the abnormal result and the corresponding user identification to the evaluation terminal. The health monitoring method not only improves the standard management rate, the treatment rate and the control rate of people suffering from chronic diseases, but also improves the timely intervention on unhealthy conditions so as to avoid condition deterioration.
In some embodiments, the acquiring health monitoring data of the user to be monitored, which is acquired by the data monitoring terminal, includes:
(a) and acquiring the corresponding monitoring time of the data monitoring terminal.
In some embodiments, by obtaining the monitoring frequency corresponding to the data monitoring terminal 104 and the sending time when the data monitoring terminal 104 last sends the health monitoring data, the monitoring time of the data monitoring terminal 104 is determined according to the monitoring frequency and the sending time.
(b) And if the health monitoring data uploaded by the tested user is not received after the current moment exceeds the monitoring moment, sending monitoring prompt information to the evaluation terminal 106 to which the tested user identifier belongs.
In this embodiment, the unsent time length from the sending time to the current time is obtained, the information prompt strength is determined according to the unsent time length, and then the monitoring prompt information corresponding to the information prompt strength is sent to the data monitoring terminal 104. For example, if the unsent time is 4 hours, the reminder is sent once; and if the unsent time is 24 hours, sending the reminding once every 2 hours. Meanwhile, monitoring prompt information is sent to the evaluation terminal 106 to which the detected user identifier belongs, and the detected user managed by the evaluation terminal 106 is informed that health monitoring data is not transmitted yet.
In this embodiment, health data of some detected users may be monitored regularly, and if the health monitoring data of the detected users collected by the data monitoring terminal 104 is not received even after the current time exceeds the predetermined monitoring time, monitoring prompt information is sent to the data monitoring terminal 104 to prompt the detected users to check and adjust the use state of the data monitoring terminal 104, and the health monitoring data is sent through the data monitoring terminal 104.
By the method, the tested user can be periodically monitored in real time, and the health state of the tested user can be followed up in time.
Further, determining the information prompt strength according to the unsent time length includes:
determining the ratio of the unsent time length to the frequency time length corresponding to the monitoring frequency as an intensity coefficient;
and determining a target interval corresponding to the intensity coefficient in the pre-divided intensity intervals, and determining the prompt intensity corresponding to the target interval according to the corresponding relation between the intensity interval and the prompt intensity.
By the method, the detected user can be reminded to upload the health monitoring data in time, the detected user cannot be disturbed, and the user physical examination is good.
In some embodiments, when a data search request sent by the evaluation terminal is received, the target health monitoring data corresponding to a target user identifier included in the data search request may be searched from the stored health monitoring data, and the searched target health monitoring data is sent to the evaluation terminal; or
The method may further include determining a target user identifier from the stored user identifiers according to the user grades by obtaining the user grades corresponding to the stored user identifiers, searching for target health monitoring data corresponding to the target user identifier included in the data search request from the stored health monitoring data, and sending the searched target health monitoring data to the evaluation terminal.
In this embodiment, the obtaining the user grades corresponding to the stored user identifiers and determining the target user identifier from the stored user identifiers according to the user grades includes:
determining a first weight according to the user grade corresponding to each user identifier;
acquiring storage time of health monitoring data corresponding to each user identifier, and determining a second weight corresponding to each user identifier according to the storage time;
and sorting the user identifications according to the superposition value of the first weight and the second weight, and taking the user identification at the head of the sorting as a target user identification.
In this embodiment, the higher the user level is, the higher the first weight is, and similarly, the longer the storage time is, the larger the second weight is.
In some embodiments, after the sending the health assessment result that is an abnormal result and the corresponding user identifier to the assessment terminal, the method further includes:
(a) the evaluation terminal uploads health guidance data according to the health evaluation result and the corresponding user identification;
and determining an unhealthy type and an unhealthy grade according to the health guidance data, and determining a recommended medical institution list according to the unhealthy type.
In this embodiment, the health grade corresponding to the health assessment result is an unhealthy type, for example, when the patient is a sick type, the patient will be reviewed by the recommended medical institution corresponding to the unhealthy type. For example, cardiovascular aspects recommend specialized cardiovascular hospital reviews.
(b) And acquiring a first geographical position of each diagnosis institution in a recommended diagnosis institution list and a second geographical position of the detected user.
There may be multiple recommended treatment institutions, and the first geographical location of each treatment institution and the second geographical location where the detected user is located, such as the address of the detected user or the address of a work unit, are obtained.
(c) And determining the visiting distance according to the first geographical position and the second geographical position.
And respectively determining the treatment distance of each recommended treatment institution according to the first geographical position and the second geographical position.
(d) And determining a recommended treatment institution from the treatment institution list according to the treatment distance and the health grade, and sending the recommended treatment institution and the health guidance data to the user terminal 108 of the tested user.
Further, determining a recommended treatment facility from the treatment facility list based on the treatment distance and the unhealthy type, comprising:
normalizing treatment distances respectively corresponding to each candidate treatment institution in a treatment institution list, and determining a first weight corresponding to each candidate treatment institution;
acquiring mechanism grades corresponding to all candidate seeing-in mechanisms in a seeing-in mechanism list, and determining a second weight corresponding to each candidate seeing-in mechanism according to the unhealthy type and the mechanism grade of each candidate seeing-in mechanism;
determining the visit weight corresponding to each candidate visit institution according to the first weight and the second weight, and determining a recommended visit institution from the visit institution list according to the visit weight.
In this embodiment, the first weight and the second weight are superimposed to obtain the visit weight corresponding to each candidate visit institution, and the candidate visit institutions in the visit institution list are sorted according to the visit weight; and screening and determining recommended treatment mechanisms according to the sorted candidate treatment mechanisms.
For example, according to the ranked candidate medical institutions, the recommended medical institution ranked 3 can be screened out and pushed to the tested user for selection.
By the method, the trouble of selecting the review mechanism by the tested user is avoided, certain selectivity of the tested user is reserved, and user experience is better.
In some embodiments, as shown in fig. 3, the present application further proposes a health monitoring device 300 comprising:
a data obtaining module 302, configured to obtain health monitoring data of at least one user to be tested, and store a user identifier of the user to be tested in correspondence with the health monitoring data;
the data query module 304 is configured to, in response to a health monitoring data query instruction, search target health monitoring data corresponding to a target user identifier from the stored health monitoring data, and send the searched target health monitoring data to an evaluation terminal;
an evaluation result determining module 306, configured to, in response to a data analysis instruction, input the stored health monitoring data corresponding to each user identifier to a health evaluation model, and obtain a health evaluation result output by the health evaluation model; the health assessment model is obtained by training sample data, wherein the sample data comprises sample data of a health sample and sample data of a patient sample;
and the data pushing module 308 is configured to send the health evaluation result that is the abnormal result and the corresponding user identifier to the evaluation terminal when the health evaluation result is the abnormal result.
The implementation process of the health monitoring device 300 is consistent with the above method, and specific reference is made to some embodiments of the method, which is not described herein again.
Fig. 4 is a schematic structural diagram of a health monitoring device according to another embodiment of the present application. The health monitoring device 4000 includes a processor 41 and may further include an input device 42, an output device 43, and a memory 44. The input device 42, the output device 43, the memory 44, and the processor 41 are connected to each other via a bus.
The memory includes, but is not limited to, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), or a portable read-only memory (CD-ROM), which is used for storing instructions and data.
The input means are for inputting data and/or signals and the output means are for outputting data and/or signals. The output means and the input means may be separate devices or may be an integral device.
The processor may include one or more processors, for example, one or more Central Processing Units (CPUs), and in the case of one CPU, the CPU may be a single-core CPU or a multi-core CPU. The processor may also include one or more special purpose processors, which may include GPUs, FPGAs, etc., for accelerated processing.
The memory is used to store program codes and data of the network device.
The processor is used for calling the program codes and data in the memory and executing the steps in the method embodiment. Specifically, reference may be made to the description of the method embodiment, which is not repeated herein.
It will be appreciated that fig. 4 only shows a simplified design of the motion recognition means. In practical applications, the motion recognition devices may also respectively include other necessary components, including but not limited to any number of input/output devices, processors, controllers, memories, etc., and all motion recognition devices that can implement the embodiments of the present application are within the scope of the present application.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the division of the unit is only one logical function division, and other division may be implemented in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. The shown or discussed mutual coupling, direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some interfaces, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the present application are wholly or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on or transmitted over a computer-readable storage medium. The computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)), or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a read-only memory (ROM), or a Random Access Memory (RAM), or a magnetic medium, such as a floppy disk, a hard disk, a magnetic tape, a magnetic disk, or an optical medium, such as a Digital Versatile Disk (DVD), or a semiconductor medium, such as a Solid State Disk (SSD).
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A health monitoring method, the method comprising:
acquiring health monitoring data of at least one tested user, and correspondingly storing a user identifier of the tested user and the health monitoring data;
in response to the condition of a health monitoring data query instruction, searching target health monitoring data corresponding to a target user identifier from the stored health monitoring data, and sending the searched target health monitoring data to an evaluation terminal;
under the condition of responding to a data analysis instruction, inputting the stored health monitoring data corresponding to each user identification into a health evaluation model, and acquiring a health evaluation result output by the health evaluation model; the health assessment model is obtained by training sample data, wherein the sample data comprises sample data of a health sample and sample data of a patient sample;
and under the condition that the health evaluation result is an abnormal result, sending the health evaluation result which is the abnormal result and the corresponding user identification to the evaluation terminal.
2. The method of claim 1, wherein the obtaining health monitoring data uploaded by at least one tested user terminal comprises:
acquiring a monitoring moment corresponding to health monitoring data of at least one detected user;
if the health monitoring data uploaded by the data monitoring terminal of the detected user is not received after the current moment exceeds the monitoring moment, sending monitoring prompt information to the evaluation terminal to which the detected user identifier belongs; and
and sending health monitoring data to the prompt of the tested user through the data monitoring terminal.
3. The method according to claim 2, wherein the obtaining of the monitoring time corresponding to the at least one measured ue comprises:
acquiring a monitoring frequency corresponding to at least one data monitoring terminal of the tested user and a sending time of last health monitoring data sent by the data monitoring terminal of the tested user;
determining the monitoring time of the data monitoring terminal of the detected user according to the monitoring frequency and the sending time;
the sending of monitoring prompt information to the data monitoring terminal of the detected user includes:
acquiring the unsent time length from the sending time to the current time, and determining the information prompt strength according to the unsent time length;
and sending monitoring prompt information corresponding to the information prompt strength to the data monitoring terminal of the detected user.
4. The method of claim 2, wherein determining the strength of the message prompt according to the unsent duration comprises:
determining the ratio of the unsent time length to the frequency time length corresponding to the monitoring frequency as an intensity coefficient;
and determining a target interval corresponding to the intensity coefficient in the pre-divided intensity intervals, and determining the prompt intensity corresponding to the target interval according to the corresponding relation between the intensity interval and the prompt intensity.
5. The method according to claim 1, wherein the searching for the target health monitoring data corresponding to the target user identifier from the stored health monitoring data and sending the searched target health monitoring data to an evaluation terminal includes:
under the condition that a data searching request sent by the evaluation terminal is received, searching target health monitoring data corresponding to a target user identifier contained in the data searching request from the stored health monitoring data, and sending the searched target health monitoring data to the evaluation terminal; or
The method comprises the steps of obtaining user grades corresponding to all stored user identifications, determining target user identifications from the stored user identifications according to the user grades, searching target health monitoring data corresponding to the target user identifications contained in the data searching request from the stored health monitoring data, and sending the searched target health monitoring data to the evaluation terminal.
6. The method according to claim 5, wherein the obtaining of the user rank corresponding to each stored user identifier and the determining of the target user identifier from the stored user identifiers according to the user rank comprises:
determining a first weight according to the user grade corresponding to each user identifier;
acquiring storage time of health monitoring data corresponding to each user identifier, and determining a second weight corresponding to each user identifier according to the storage time;
and sorting the user identifications according to the superposition value of the first weight and the second weight, and taking the user identification at the head of the sorting as a target user identification.
7. The method according to any one of claims 1 to 6, wherein after sending the health assessment result that is an abnormal result and the corresponding user identifier to the assessment terminal, the method further comprises:
receiving health guidance data uploaded by the evaluation terminal according to the health evaluation result and the corresponding user identification;
determining an unhealthy type and an unhealthy grade according to the health guidance data, and determining a recommended medical institution list according to the unhealthy type;
acquiring a first geographical position of each diagnosis institution in the recommended diagnosis institution list and a second geographical position of the detected user;
determining a treatment distance according to the first geographical position and the second geographical position;
and determining a recommended treatment institution from the treatment institution list according to the treatment distance and the health grade, and sending the recommended treatment institution and the health guidance data to the user terminal of the tested user.
8. A health monitoring device, the device comprising:
the data acquisition module is used for acquiring health monitoring data of at least one tested user and correspondingly storing a user identifier of the tested user and the health monitoring data;
the data query module is used for responding to the condition of a health monitoring data query instruction, searching target health monitoring data corresponding to a target user identifier from the stored health monitoring data, and sending the searched target health monitoring data to the evaluation terminal;
the evaluation result determining module is used for responding to a data analysis instruction, inputting the stored health monitoring data corresponding to each user identification into a health evaluation model, and acquiring a health evaluation result output by the health evaluation model; the health assessment model is obtained by training sample data, wherein the sample data comprises sample data of a health sample and sample data of a patient sample;
and the data pushing module is used for sending the health evaluation result which is an abnormal result and the corresponding user identification to the evaluation terminal under the condition that the health evaluation result is an abnormal result.
9. An electronic device comprising a memory having computer-executable instructions stored thereon and a processor that, when executing the computer-executable instructions on the memory, implements the method of any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the method of any one of claims 1 to 7.
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