CN109671501A - A kind of women physiological period prediction technique based on big data - Google Patents
A kind of women physiological period prediction technique based on big data Download PDFInfo
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- CN109671501A CN109671501A CN201710950519.XA CN201710950519A CN109671501A CN 109671501 A CN109671501 A CN 109671501A CN 201710950519 A CN201710950519 A CN 201710950519A CN 109671501 A CN109671501 A CN 109671501A
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Abstract
The women physiological period prediction technique based on big data that the invention discloses a kind of, the following steps are included: recording height, the weight, age, history average time, history equispaced number of days of women by cell phone application, one tentative prediction is made to women physiological period by these data；By the correlation analysis of the big data of the physiology phase continuous days and interval number of days of the women to same age, similar height weight, women physiological period prediction is adjusted；By the track record of a period of time, physiology phase continuous days and interval number of days are recorded, realize the accurate prediction of the women physiological period.
Description
Technical field
The women physiological period prediction technique based on big data that the present invention relates to a kind of belongs to computer big data technology neck
Domain.
Background technique
" big data " is that a scale of construction is especially big, the king-sized data set of data category, and such data set can not
Its content is grabbed, managed and handled with traditional database tool.
" big data " refers to the data scale of construction (volumes) greatly first, refers to large data collection, generally left in 10TB scale
The right side, but in practical applications, many enterprise customers put multiple data sets together, have formd PB grades of data volume；
Followed by refer to data category (variety) greatly, data come from multiple data sources, and data class and format are increasingly rich
Richness, broken through before defined by structural data scope, enumerate semi-structured and unstructured data.
Fastly followed by data processing speed (Velocity), in the very large situation of data volume, can also accomplish to count
According to real-time processing.
The last one feature refers to data validity (Veracity) height, with social data, Enterprise content, trades and answers
It is broken with the limitation of the interest of the source of new data such as data, traditional data source, enterprise more needs the power of effective information with true
Protect its authenticity and safety.
" big data " is to need new tupe that could have stronger decision edge, see clearly discovery power and process optimization ability
Magnanimity, high growth rate and diversified information assets.From the classification of data, " big data " refers to not being available tradition
Process or the information of tool processing or analysis.It defines those and exceeds normal process range and size, forces user using non-
The data set of traditional treatment method.
Women physiological period is not punctual, it is difficult to prediction is to perplex the major issue of women, by the calculating of big data and
Analysis counts female history physiology phase average time and history equispaced number of days, in addition the female at same age, similar height weight
The relevant information of property can preferably predict that the physiological period of women avoids embarrassment so that women is ready before its arriving.
Summary of the invention
Goal of the invention: in order to overcome the deficiencies in the prior art, the present invention provides a kind of women based on big data
Physiology phase prediction technique, it is intended to help women more accurately to predict physiology phase arrival time, avoid embarrassment.
Technical solution: to achieve the above object, the technical solution adopted by the present invention are as follows:
A kind of women physiological period prediction technique based on big data, comprising the following steps:
Step 1) records the height, weight, age, history average time, history equispaced day of women by cell phone application
Number, makes a tentative prediction to women physiological period by these data；
Step 2) passes through the physiology phase continuous days of the women to same age, similar height weight and the big number of interval number of days
According to correlation analysis, to women physiological period prediction adjust；
Step 3) records physiology phase continuous days and interval number of days, realizes the women by the track record of a period of time
The accurate prediction of physiology phase.
Preferred: the tentative prediction of women physiological period is to continue history average time, is spaced history equispaced number of days weight
It is multiple to carry out.
Preferred: same to age, the female body hormone secretion level of similar height weight are almost the same.
Preferred: described a period of time refers to 1 year.
Preferred: weight shared by the track record of a period of time is greater than same age, similar height weight women data institute
Account for weight.
The present invention compared with prior art, has the advantages that
By the statistics and analysis of big data, women physiological period can be accurately predicted, women physiological period is avoided to come suddenly
The embarrassment faced makes women carry out sufficient preparation, and reasonable arrangement work and life, strikes a proper balance between work and rest.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of women physiological period prediction technique based on big data.
Specific embodiment
In the following with reference to the drawings and specific embodiments, the present invention is furture elucidated, it should be understood that these examples are merely to illustrate this
It invents rather than limits the scope of the invention, after the present invention has been read, those skilled in the art are to of the invention various
The modification of equivalent form falls within the application range as defined in the appended claims.
It is as shown in Figure 1 a kind of women physiological period prediction technique based on big data, comprising the following steps:
Step 1) records the height, weight, age, history average time, history equispaced day of women by cell phone application
Number, makes a tentative prediction to women physiological period by these data；
Step 2) passes through the physiology phase continuous days of the women to same age, similar height weight and the big number of interval number of days
According to correlation analysis, to women physiological period prediction adjust；
Step 3) records physiology phase continuous days and interval number of days, realizes the women by the track record of a period of time
The accurate prediction of physiology phase.
The tentative prediction of women physiological period is to continue history average time, and interval history equispaced number of days repeats.
Same age, the female body hormone secretion level of similar height weight are almost the same.
Described a period of time refers to 1 year.
Weight shared by the track record of a period of time is greater than weight shared by same age, similar height weight women data.
The above is only a preferred embodiment of the present invention, it should be pointed out that: for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (5)
1. a kind of women physiological period prediction technique based on big data, which comprises the following steps:
Step 1) records height, the weight, age, history average time, history equispaced number of days of women by cell phone application,
One tentative prediction is made to women physiological period by these data；
Step 2) passes through the physiology phase continuous days of the women to same age, similar height weight and the big data for being spaced number of days
Correlation analysis adjusts women physiological period prediction；
Step 3) records physiology phase continuous days and interval number of days, realizes the female pathology by the track record of a period of time
The accurate prediction of phase.
2. a kind of women physiological period prediction technique based on big data according to claim 1, it is characterised in that: Nv Xingsheng
The tentative prediction of reason phase is to continue history average time, and interval history equispaced number of days repeats.
3. a kind of women physiological period prediction technique based on big data according to claim 1, it is characterised in that: the same year
Age, the female body hormone secretion level of similar height weight are almost the same.
4. a kind of women physiological period prediction technique based on big data according to claim 1, it is characterised in that: described
Refer to for a period of time 1 year.
5. a kind of women physiological period prediction technique based on big data according to claim 1, it is characterised in that: at one section
Between track record shared by weight be greater than same age, weight shared by similar height weight women data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710950519.XA CN109671501A (en) | 2017-10-13 | 2017-10-13 | A kind of women physiological period prediction technique based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710950519.XA CN109671501A (en) | 2017-10-13 | 2017-10-13 | A kind of women physiological period prediction technique based on big data |
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| Publication Number | Publication Date |
|---|---|
| CN109671501A true CN109671501A (en) | 2019-04-23 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201710950519.XA Withdrawn CN109671501A (en) | 2017-10-13 | 2017-10-13 | A kind of women physiological period prediction technique based on big data |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113470823A (en) * | 2021-06-28 | 2021-10-01 | 康键信息技术（深圳）有限公司 | User physiological period prediction method, device, equipment and storage medium |
-
2017
- 2017-10-13 CN CN201710950519.XA patent/CN109671501A/en not_active Withdrawn
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113470823A (en) * | 2021-06-28 | 2021-10-01 | 康键信息技术（深圳）有限公司 | User physiological period prediction method, device, equipment and storage medium |
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Application publication date: 20190423 |