Height prediction method and system

A height prediction and height technology, which is applied in the direction of instruments, character and pattern recognition, health index calculation, etc., can solve the problems of long research cycle, difficulty in data collection, and poor universality of collected data, and achieve the effect of improving accuracy

Inactive Publication Date: 2018-02-23
北京好啦科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In view of this, the main purpose of the present invention is to provide a height prediction method to overcome ...

Method used

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  • Height prediction method and system
  • Height prediction method and system
  • Height prediction method and system

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Experimental program
Comparison scheme
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Embodiment 1

[0050] S101. Obtain the basic data of minors in a specified age range and their current height data; wherein, the basic data are various related factors that affect the height of teenagers, including: (1) the child's gender, age, region, Personal information such as weight; (2) lifestyle data such as diet, sleep, and exercise of the child; (3) genetic factors such as parents' birth date and height.

[0051] Among them, in order to ensure that each age stage has enough data for predictive model learning, the entire data collection scale usually needs to reach 500,000 to 1 million. Specifically, the method of collecting massive amounts of basic data includes, but is not limited to, collecting through online questionnaires or paper questionnaires and / or obtaining existing basic data of minors in specified age ranges and their current heights through online databases data. For example, the way to publish and promote electronic questionnaires through mobile Internet APP or WeChat ...

Embodiment 2

[0115] Based on the height prediction method in the first embodiment above, the present application also provides a height prediction system, including:

[0116] The data acquisition unit is used to acquire the basic data and current height data of minors in a specified age range; wherein, the basic data includes but not limited to: gender, age, region, weight, eating habits, sleeping habits, exercise habits , the height of the parents;

[0117] An extraction unit, configured to perform feature selection on the acquired basic data, so as to extract key feature data that have a significant impact on height;

[0118] A model building unit, configured to cluster and group the extracted key feature data and their corresponding height data, and construct growth curve models of minors of different sexes and different age ranges within each group;

[0119]The prediction unit is used to select the growth curve model corresponding to the gender and age range in the corresponding group...

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Abstract

The invention discloses a height prediction method and system; the method comprises the following steps: A, obtaining juvenile basic data in an assigned age range and current height data, wherein thebasic data comprises yet not limited by the following items: sex, age, regions, body weight, diet habits, sleep habits, exercise habits and parent heights; B, selecting features of the obtained basicdata so as to extract key feature data remarkably affecting height; C, clustering and grouping the extracted key feature data and corresponding height data, and building a juvenile growth curve modelin different age ranges of different sexes in each group; D, selecting the growth curve model of the corresponding sex and age range in the corresponding group according to the feature data of a to-be-predicted height juvenile, and inputting the feature data into the selected model so as to obtain the juvenile height predicted value. The method and system can evaluate and parse the juvenile growthconditions in real time, can research and analyze the juvenile nutrition health status, and can make customized recommends for children diet life habits.

Description

technical field [0001] The invention relates to the application field of data mining technology in the medical and health industry, in particular to a height prediction method and system. Background technique [0002] Height is a sensitive and important index to evaluate the growth and development health status of adolescents and children. Usually, a smooth increase in height indicates that the child is well nourished and has not been disturbed by chronic diseases. With the advancement of science and technology, people's understanding of the height development of adolescents and children is getting deeper and deeper. Among a series of adolescent growth and health problems, the height of adolescents is the most concerned one. The height of adolescents and children is affected by factors including weight, diet, exercise, nutrient intake, sleep quality, and various disease factors, but the most important factor affecting the height of adolescents and children is genetic facto...

Claims

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Application Information

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IPC IPC(8): G16H50/30G06K9/62
CPCG06F18/23213G06F18/24137
Inventor 田勇
Owner 北京好啦科技有限公司
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