CN104850758A - Health index scoring method - Google Patents
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- CN104850758A CN104850758A CN201510313126.9A CN201510313126A CN104850758A CN 104850758 A CN104850758 A CN 104850758A CN 201510313126 A CN201510313126 A CN 201510313126A CN 104850758 A CN104850758 A CN 104850758A
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- 238000013077 scoring method Methods 0.000 title abstract 2
- 239000008280 blood Substances 0.000 claims abstract description 22
- 210000004369 blood Anatomy 0.000 claims abstract description 22
- 238000000034 method Methods 0.000 claims abstract description 19
- 230000036772 blood pressure Effects 0.000 claims abstract description 15
- 210000001367 artery Anatomy 0.000 claims abstract description 9
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 9
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 9
- 239000001301 oxygen Substances 0.000 claims abstract description 9
- 230000002526 effect on cardiovascular system Effects 0.000 claims description 9
- 208000034189 Sclerosis Diseases 0.000 claims description 8
- 230000037182 bone density Effects 0.000 claims description 8
- 238000010276 construction Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 239000008103 glucose Substances 0.000 abstract description 3
- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 abstract description 2
- 210000004204 blood vessel Anatomy 0.000 abstract 1
- 210000000988 bone and bone Anatomy 0.000 abstract 1
- 229910052500 inorganic mineral Inorganic materials 0.000 abstract 1
- 230000003340 mental effect Effects 0.000 abstract 1
- 239000011707 mineral Substances 0.000 abstract 1
- 239000000203 mixture Substances 0.000 abstract 1
- 230000003862 health status Effects 0.000 description 5
- 208000037063 Thinness Diseases 0.000 description 4
- 230000035487 diastolic blood pressure Effects 0.000 description 4
- 235000004213 low-fat Nutrition 0.000 description 4
- 230000035488 systolic blood pressure Effects 0.000 description 4
- 206010048828 underweight Diseases 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 208000008589 Obesity Diseases 0.000 description 2
- 206010033307 Overweight Diseases 0.000 description 2
- 230000037396 body weight Effects 0.000 description 2
- 235000013372 meat Nutrition 0.000 description 2
- 210000003205 muscle Anatomy 0.000 description 2
- 230000036973 muscularity Effects 0.000 description 2
- 235000020824 obesity Nutrition 0.000 description 2
- 208000017667 Chronic Disease Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 235000005911 diet Nutrition 0.000 description 1
- 230000037213 diet Effects 0.000 description 1
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- Medical Treatment And Welfare Office Work (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention discloses a health index scoring method. According to the invention, blood pressure, blood glucose, a BMI (body mass index), the bone mineral density, heart and blood vessels, hardening of arteries, body compositions, mental pressure and blood oxygen are selected to act as basic items for health index scoring. Different algorithm models are adopted for different basic items, scores of the basic items are calculated, and then a comprehensive score is calculated according to a weighted average method. The invention aims to fully reflect individual health condition according to health index scoring, and a health index score ranking mechanism is introduced so as to improve the individual health level through ranking competition.
Description
Technical field
The present invention relates to areas of information technology and medical treatment & health field, is a kind of health index methods of marking.
Background technology
Along with developing rapidly of internet medical information technology, people more and more pay close attention to the indices that accurately can reflect individual fitness, government, enterprise, the individual input all increased medical treatment & health.Healthy cabin take community medical service center as Extension Software Platform, by in community, enterprise system, comprehensively health self-test health check-up system, urban community health services quality is improved with this, the general level of the health of the employee of enterprise, and by the health control band of the common people to variation, generalization, systematization, personalization, information-based future development.To in individual, the mechanical floor that screws on of various healthy aspect does not go out thoroughly, according to the data of various health check-up, how to calculate a reasonably healthy index score, allows this mark fully can reflect the health status of individual, a kind of algorithm application of health index scoring and going out.
The control requirement of knot chronic disease, chooses blood pressure, blood sugar, BMI, bone density, cardiovascular, artery sclerosis, human body component, stress, the basic item that blood oxygen is marked as health index, different basic items, adopts different algorithm models, calculates basic item rating, again according to method of weighted mean, calculate a comprehensive scoring.
Summary of the invention
In order to overcome above-mentioned defect, the invention provides a kind of health index methods of marking.
The present invention in order to the technical scheme solving its technical matters and adopt is: 1
.a kind of health index methods of marking, comprises the following steps:
1) collection of health data: collect data from following collection source, and by data upload stored in database:
A) the healthy cabin of community and Enterprise Construction;
B) the health check-up data of MEC;
C) health account data;
D) health data of wearable device;
2) the data screening mode participating in health index scoring in step 1) is:
A) have in 10 days and newly detect data, then do not use historical data, only calculate overall score by new detection data;
B) newly do not detect data in 10 days and only have historical data, then getting every up-to-date data in historical data, calculating individual event and overall score;
C) there is no data, then do not participate in scoring;
D) have in 10 days and newly detect data, but have the individual event of data, weight and less than 70, do not participate in scoring;
3) calculate individual event health index basic score, choosing conventional data item is:
A) blood pressure
B) blood sugar
c) BMI
D) bone density
E) cardiovascular
F) artery sclerosis
G) human body component
H) stress
I) blood oxygen
4) the data item health index methods of marking in step 3) adopts many algorithms to combine, and comprising:
A) geometric ratio method;
B) interval value method;
C) method of weighted mean;
5) health index comprehensive grading is calculated:
Individual event weight:
The weight accounting for 30 has: blood pressure, blood sugar, BMI;
The weight accounting for 20 has: human body component, artery sclerosis, cardiovascular;
The weight accounting for 5 has: stress, bone density, blood oxygen;
Comprehensive grading=(individual event mark 1 × weight 1+ individual event weight 2 × weight 2+ ... )/(weight 1+weight 2+...)
6) calculate the health status 5 star grading of user according to health index comprehensive grading, comprehensively comment part between 90 points and 100 points, be chosen as 5 stars, between 80 points and 90 points, be chosen as 4 stars, between 60 and 70 points, be chosen as 3 stars, between 50 and 60 points, be chosen as 2 stars, be less than 50 be chosen as 1 star.
7) by final health index comprehensive grading and health status star show on a display screen, check for user.
As a further improvement on the present invention, in described step 1), the collection source of data is not limited to the source described in step 1).
The invention has the beneficial effects as follows: health index methods of marking of the present invention chooses blood pressure, blood sugar, BMI, bone density, cardiovascular, artery sclerosis, human body component, stress, the basic item that blood oxygen is marked as health index, different basic items, adopt different algorithm models, calculate basic item rating, then according to method of weighted mean, calculate a comprehensive scoring, according to comprehensive scoring, can understand the health status of individual, reminding user needs the health status paying close attention to self, the diet of reasonable arrangement and suitably participate in motion.And introduce the rank mechanism of health index scoring, competed by rank and improve personal health level.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the inventive method;
Embodiment
In order to deepen the understanding of the present invention, below in conjunction with embodiment, the invention will be further described, and this embodiment only for explaining the present invention, does not form limiting the scope of the present invention.
1) collection of health data: collect data from following collection source, and by data upload stored in database:
A) the healthy cabin of community and Enterprise Construction;
B) the health check-up data of MEC;
C) health account data;
D) health data of wearable device;
2) the data screening mode participating in health index scoring in step 1) is:
A) have in 10 days and newly detect data, then do not use historical data, only calculate overall score by new detection data;
B) newly do not detect data in 10 days and only have historical data, then getting every up-to-date data in historical data, calculating individual event and overall score;
C) there is no data, then do not participate in scoring;
D) have in 10 days and newly detect data, but have the individual event of data, weight and less than 70, do not participate in scoring;
3) calculate individual event health index basic score, choosing conventional data item is:
A) blood pressure scoring algorithm
Systolic pressure: 80 90 105 120 180
Score: 40-------95---100---95-------40
Diastolic pressure: 50 60 70 90 100
Score: 40-------95---100---95-------40
Blood pressure mark: (systolic pressure score+diastolic pressure score)/2
B) blood sugar scoring algorithm
Blood glucose value: 2.8 3.9 5.0 6.1 11.1
Score: 40-------95---100---95-------40
C) BMI scoring algorithm
bmi： 15 18.5 19.3 23.9 32
Score: 40-------95---100----95------40
D) bone density scoring algorithm
T value :-3.0-1 01 3.0
Score: 40-------95---100----95------85
E) artery sclerosis scoring algorithm
abi： 0.3 1 1.1 1.2 2.1
Score: 40-------95---100---95-------40
F) cardiovascular scoring algorithm
Be divided into 29 cardiovascular, total score is 100, and each must be divided into 3, has one not within normal range, just deducts 3 points.
G) human body component scoring algorithm
PercentBodyFat (personal fat percentage)
| Cryptomorphic obesity | Fat is excessive | Fat |
| Under-weight | Standard body weight | Overweight muscularity |
| Low fat under-weight | Low-fat muscle meat type | Sportsman's type |
0 18.5 23 3.0 （bmi）
Score:
Cryptomorphic obesity 85 ~ 95
Fat excessive 75 ~ 85
Fat 55 ~ 65
Under-weight 65 ~ 75
Standard body weight 95 ~ 100
Overweight muscularity 75 ~ 85
Low fat under-weight 60 ~ 65
Low-fat muscle meat type 75 ~ 85
Sportsman's type 85 ~ 95
H) blood oxygen scoring algorithm
Index number (95% gets 95) >=95 scores=100-|98-index number | × 2
85< index number <95 score=100-(95-index number) × 10
Index number <=85 score=0
I) stress scoring algorithm
Get 2 groups of critical values:
PLZS fatigue exponent
YLZS pressure index
PTS=
× 10
Example:
PLZS=89
YLZS=120
PTS=55 point;
Finally calculate health index comprehensive grading:
Individual event weight:
The weight accounting for 30 has: blood pressure, blood sugar, BMI;
The weight accounting for 20 has: human body component, artery sclerosis, cardiovascular;
The weight accounting for 5 has: stress, bone density, blood oxygen;
Comprehensive grading=(individual event mark 1 × weight+individual event weight 2 × weight+... )/weight summation
Comprehensively comment part 90 points with 100 by stages, be chosen as 5 stars, 80 points with 90 by stages, be chosen as 4 stars, be chosen as 3 stars in 60 and 70 by stages, be chosen as 2 stars in 50 and 60 by stages, be less than 50 be chosen as 1 star
By the display of final health index comprehensive grading on a display screen, check for user.
Such as:
A people is in nearest 10 days build-in tests one group of data, and wherein systolic pressure is 110, and diastolic pressure is 90, and fasting blood-glucose is 3.7, BMI is 30.
In content according to invention, learn that the weight of blood pressure is 30, the weight of blood sugar is the weight of 30, BMI is 30, weight and be 90 points, and more than 70 points, algorithm is as follows:
Systolic pressure mark in blood pressure: 95+| (110-120) |/(120-105) * 5=97
Diastolic pressure mark in blood pressure: 95+| (90-90) |/(90-70) * 5=95
Scoring=97+95/2=96 of blood pressure
Scoring=40+ (3.7-2.8)/(3.9 – 2.8) * 55=85 of blood sugar
Scoring=40+ (the 25-32)/32-23.9 * 55=87 of BMI
The weight of blood pressure is 30, blood sugar weight 30 BMI weight 30
Total scoring=30* 96+85 * 30+87*30/ (30+30+30)=90
Your physical condition star is 5 stars, woulds you please continue to keep.
Claims (2)
1. a health index methods of marking, is characterized in that, comprises the following steps:
1) collection of health data: collect data from following collection source, and by data upload stored in database:
The healthy cabin of community and Enterprise Construction;
The health check-up data of MEC;
Health account data;
The health data of wearable device;
2) the data screening mode participating in health index scoring in step 1) is:
Have in 10 days and newly detect data, then do not use historical data, only calculate overall score by new detection data;
Newly do not detect data in 10 days and only have historical data, then getting every up-to-date data in historical data, calculating individual event and overall score;
There is no data, then do not participate in scoring;
Have in 10 days and newly detect data, but have the individual event of data, weight and less than 70, do not participate in scoring;
3) calculate individual event health index basic score, choosing conventional data item is:
Blood pressure
Blood sugar
BMI
Bone density
Cardiovascular
Artery sclerosis
Human body component
Stress
Blood oxygen
4) the data item health index methods of marking in step 3) adopts many algorithms to combine, and comprising:
Geometric ratio method;
Interval value method;
Method of weighted mean;
5) health index comprehensive grading is calculated:
Individual event weight:
The weight accounting for 30 has: blood pressure, blood sugar, BMI;
The weight accounting for 20 has: human body component, artery sclerosis, cardiovascular;
The weight accounting for 5 has: stress, bone density, blood oxygen;
Comprehensive grading=(individual event mark 1 × weight 1+ individual event weight 2 × weight 2+ ... )/(weight 1+weight 2+...)
6) general level of the health of user is calculated according to health index comprehensive grading;
7) final health index comprehensive grading and the general level of the health are shown on a display screen, check for user.
2. health index methods of marking according to claim 1, is characterized in that: in described step 1), the collection source of data is not limited to the source described in step 1).
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| CN201510313126.9A CN104850758A (en) | 2015-06-10 | 2015-06-10 | Health index scoring method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510313126.9A CN104850758A (en) | 2015-06-10 | 2015-06-10 | Health index scoring method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104850758A true CN104850758A (en) | 2015-08-19 |
Family
ID=53850399
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|---|---|---|---|---|
| CN105193431A (en) * | 2015-09-02 | 2015-12-30 | 杨静 | Device for analyzing mental stress state of human body |
| CN106066939A (en) * | 2016-06-03 | 2016-11-02 | 北京妙医佳信息技术有限公司 | Health behavior evaluation methodology and system |
| CN106096274A (en) * | 2016-06-08 | 2016-11-09 | 江苏华康信息技术有限公司 | A kind of sectional linear fitting health evaluating method based on normal distribution |
| CN107103177A (en) * | 2017-03-09 | 2017-08-29 | 徐小健 | A kind of personal health theory of index number points-scoring system and its methods of marking |
| CN107292113A (en) * | 2017-06-30 | 2017-10-24 | 江西博瑞彤芸科技有限公司 | A kind of processing method of integration data |
| CN107315818A (en) * | 2017-06-30 | 2017-11-03 | 江西博瑞彤芸科技有限公司 | integration processing method based on sign data |
| CN107785080A (en) * | 2017-11-23 | 2018-03-09 | 杭州变啦网络科技有限公司 | Health index appraisal procedure and system based on bioelectrical impedance analysis device |
| CN107898448A (en) * | 2017-12-06 | 2018-04-13 | 徐文斌 | A kind of intelligent sphygmomanometer and its control method |
| CN108836264A (en) * | 2018-04-23 | 2018-11-20 | 中冶赛迪技术研究中心有限公司 | Vital index calculation method and sign Index Instrument |
| CN109065167A (en) * | 2018-08-16 | 2018-12-21 | 芜湖云枫信息技术有限公司 | The elderly's exercise risk appraisal procedure |
| CN111009328A (en) * | 2019-12-25 | 2020-04-14 | 新绎健康科技有限公司 | Regional population health condition assessment method and device |
| CN111048206A (en) * | 2019-12-24 | 2020-04-21 | 新绎健康科技有限公司 | Multi-dimensional health state assessment method and device |
| CN111192681A (en) * | 2019-12-25 | 2020-05-22 | 新绎健康科技有限公司 | Method and system for acquiring target blood glucose characteristics |
| CN111462904A (en) * | 2020-04-08 | 2020-07-28 | 京东方科技集团股份有限公司 | Blood health evaluation device and method, and physiological index damage contribution degree evaluation method |
| CN112890816A (en) * | 2020-12-11 | 2021-06-04 | 万达信息股份有限公司 | Health index scoring method and device for individual user |
| CN113706823A (en) * | 2021-03-04 | 2021-11-26 | 罗勇 | Automatic nursing alarm system based on intelligent old age nursing and processing method thereof |
| CN116940990A (en) * | 2021-03-02 | 2023-10-24 | 株式会社花花 | Health management system |
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| CN106066939A (en) * | 2016-06-03 | 2016-11-02 | 北京妙医佳信息技术有限公司 | Health behavior evaluation methodology and system |
| CN106096274A (en) * | 2016-06-08 | 2016-11-09 | 江苏华康信息技术有限公司 | A kind of sectional linear fitting health evaluating method based on normal distribution |
| CN107103177A (en) * | 2017-03-09 | 2017-08-29 | 徐小健 | A kind of personal health theory of index number points-scoring system and its methods of marking |
| CN107315818B (en) * | 2017-06-30 | 2020-10-27 | 北京博瑞彤芸科技股份有限公司 | Integral processing method based on sign data |
| CN107292113A (en) * | 2017-06-30 | 2017-10-24 | 江西博瑞彤芸科技有限公司 | A kind of processing method of integration data |
| CN107315818A (en) * | 2017-06-30 | 2017-11-03 | 江西博瑞彤芸科技有限公司 | integration processing method based on sign data |
| CN107785080A (en) * | 2017-11-23 | 2018-03-09 | 杭州变啦网络科技有限公司 | Health index appraisal procedure and system based on bioelectrical impedance analysis device |
| CN107898448A (en) * | 2017-12-06 | 2018-04-13 | 徐文斌 | A kind of intelligent sphygmomanometer and its control method |
| CN108836264A (en) * | 2018-04-23 | 2018-11-20 | 中冶赛迪技术研究中心有限公司 | Vital index calculation method and sign Index Instrument |
| CN109065167A (en) * | 2018-08-16 | 2018-12-21 | 芜湖云枫信息技术有限公司 | The elderly's exercise risk appraisal procedure |
| CN111048206A (en) * | 2019-12-24 | 2020-04-21 | 新绎健康科技有限公司 | Multi-dimensional health state assessment method and device |
| CN111009328A (en) * | 2019-12-25 | 2020-04-14 | 新绎健康科技有限公司 | Regional population health condition assessment method and device |
| CN111192681A (en) * | 2019-12-25 | 2020-05-22 | 新绎健康科技有限公司 | Method and system for acquiring target blood glucose characteristics |
| CN111462904A (en) * | 2020-04-08 | 2020-07-28 | 京东方科技集团股份有限公司 | Blood health evaluation device and method, and physiological index damage contribution degree evaluation method |
| WO2021203890A1 (en) * | 2020-04-08 | 2021-10-14 | 京东方科技集团股份有限公司 | Blood health evaluation device and method, and physiological index decline contribution assessment method |
| CN112890816A (en) * | 2020-12-11 | 2021-06-04 | 万达信息股份有限公司 | Health index scoring method and device for individual user |
| CN116940990A (en) * | 2021-03-02 | 2023-10-24 | 株式会社花花 | Health management system |
| CN113706823A (en) * | 2021-03-04 | 2021-11-26 | 罗勇 | Automatic nursing alarm system based on intelligent old age nursing and processing method thereof |
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Application publication date: 20150819 |