CN108597606A - Body health state Quantitative Calculation Method based on serological index - Google Patents

Body health state Quantitative Calculation Method based on serological index Download PDF

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Publication number
CN108597606A
CN108597606A CN201810234091.3A CN201810234091A CN108597606A CN 108597606 A CN108597606 A CN 108597606A CN 201810234091 A CN201810234091 A CN 201810234091A CN 108597606 A CN108597606 A CN 108597606A
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index
score
health
individual
degree
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潘丽敏
赵惟肖
罗森林
王文浩
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Beijing Institute of Technology BIT
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Beijing Institute of Technology BIT
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

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  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Biomedical Technology (AREA)
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  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The present invention relates to the Body health state Quantitative Calculation Methods based on serological index, belong to field of biomedicine technology.The present invention selects the serological index structure quantum chemical method system that can reflect body various aspects functional status first;Secondly, indices health degree is calculated according to the clinical definition of each index and reference interval, and takes adaptive weighting computational methods to obtain quantizating index weight in different samples;Then, the health risk and functional status situation of quantum chemical method individual, and the individual chronic disease disease condition of combination respectively, obtains the comprehensive quantification result of calculation of Body health state.The problem of the accuracy and comprehensive deficiency of scaling method is compensated for a certain extent.

Description

Body health state Quantitative Calculation Method based on serological index
Technical field
The present invention relates to the Body health state Quantitative Calculation Methods based on serological index, belong to biomedical technology neck Domain.
Background technology
The concept of health of modern includes many aspects such as Body health, mental health, intelligence health, Environmental Health, Middle Body health is most basic one in health concept.Body health not merely refers to no disease and maimed person, prior It is that internal each system all has good physiological function.By the detection to health indicator, and comprehensive quantification calculates Body health State promotes individual health to safeguard significant to finding health risk in time.
Currently, health status quantum chemical method mainly uses scale method, application and the hair of such scale are mainly introduced below Open up situation.
1. cornell medical index-health questionnaire
CMI questionnaires include total 195 problems in 18 parts, sort by English alphabet per part, are related to somatization, are good for 4 health custom, mental symptom, past medical history and family history aspect contents.Each project is "Yes", the answer of "No" two-stage, is answered "No" person remembers 0 point, answers "Yes" person and remembers 1 point, whole project score summations are CMI scores.
2. Nottingham scale
NHP is made of Health questionnaire, personal lifestyle problem two parts.Scale first part includes body activity, pain, sleeps 6 dormancy, energy, social bond, emotional responses dimensions amount to 38 problems, each problem is endowed different weights;Second Divide includes family life, work, social life, treatment family, hobby & interest, sexual life, totally 7 aspects of spending a holiday.
3.SF-36 health survey scales
Scale includes that 8 dimensions amount to 36 problems, covers physiological function, physiological function, general health, body pain Bitterly, mental health, energy, social function and emotion function etc..
4. European five dimension Health Scales
EQ-5D includes mainly healthy description system (EQ-5D) and visual simulation scale (EQ-VAS) two parts.Health description System is made of five problems, on the day of measuring surveyee ability to act, daily activities, self-care ability, Whether pain or uncomfortable, whether horizontal residing for depression or 5 dimensions of anxiety.Visual simulation scale portion shows one 20 centimetres Long vertical scale ruler, surveyee is according to oneself current scoring that 0-100 divides from the health status assert progress graduated scale.
By summarizing related work, it is seen that:(1) there is presently no unified population health index systems in China, existing Capable population health evaluation criterion is mostly foreign maturation scale;(2) since Body health quantum chemical method needs consider Many factors, thus scaling method be difficult accomplish it is comprehensive, and scaling method do not fully consider quantization item between correlation, The accuracy of quantization result of calculation can be thus influenced to a certain extent;(3) existing Quantitative Calculation Method is in implementation process The tax power that expert opinion carries out quantified property is relied on mostly;(4) existing Body health state Quantitative Calculation Method lacks to quantization The rational verification of result of calculation.
Invention content
The purpose of the present invention is to solve the problems, such as that scaling method is comprehensive in biomedicine and accuracy is inadequate, propose to be based on The Body health state Quantitative Calculation Method of serological index.
The present invention design principle be:First, in survey database, selection can reflect body various aspects functional status Index build Quantitative System;Secondly, single index health degree is calculated according to the clinical definition of each index and reference interval, and to not Adaptive weighting computational methods are taken to obtain quantizating index weight with sample;Then, quantify the health risk and work(of individual respectively Energy state status, and individual chronic disease disease condition is combined, obtain the comprehensive quantification result of calculation of Body health state;Finally, Body health score and classification results are verified, illustrate its reasonability and validity.
The technical scheme is that be achieved by the steps of:
Step 1, the present invention uses three-tier structure system, i.e. destination layer A, rule layer B and indicator layer C.Destination layer A is health The Body health state of three aspect of risk, functional status and disease condition, rule layer B includes the bodies work(such as lipid metaboli, glycometabolism The clinic of energy represents meaning, and indicator layer C is then the serological index specifically used in quantum chemical method and chronic disease illness index.
Step 2, the concept for introducing " health degree ", for quantitatively indicating the individual event serological index of individual in entire population In good and bad degree.According to the difference of Crowds Distribute situation, threshold value and reference interval, calculate the corresponding health degree of indices and Gini coefficients.
Step 2.1, for the index of bilateral boundary, health degree calculation formula is:
Wherein, μ-α and μ+α indicate 0.45 quantile and upper 0.55 quantile in normal distribution, namely [μ-α, μ+α] respectively Indicate normal distribution among 10% value range, α byIt is calculated.Its physical meaning is:Work as finger Mark value near crowd's mean value in a smaller range when, health degree does not have notable difference, is quantified as maximum value 1。
Step 2.2, for unilateral lower limit, health degree calculation formula is:
Wherein, [μ+α ,+∞) indicate highest 10%, the α of index value range byIt calculates It arrives.Its physical meaning is:Single index health degree rises with the raising of index value, but when index tends to be higher than threshold value After μ+α, index health degree no longer increases.
Similarly, the calculation formula of unilateral upper limit index is:
To normal distribution index, μ and σ indicate mean value and standard deviation of the index on entire data set, to abnormal point Cloth index, μ and σ then indicate median and standard deviation respectively.
Step 2.3, the Gini coefficients of every serology quantizating index are calculated, then the weight of every quantizating index then can be with table It is shown as:
Wherein, GiIndicate that the Gini coefficients of i-th of index, n indicate the total number of quantizating index.
Step 3, Body health state score is calculated.
Step 3.1, health risk score S1Indicate that individual Body health degree within the following certain time declines or occurs The degree of danger of apparent disease, score is higher, and to represent degree of risk lower.Calculation formula is:
Functional status score S2For quantum chemical method individual organ, the operating status of internal organs and histiocytic metabolic water Whether flat normal, score is higher, and expression functional status is more stable.Calculation formula is:
Disease condition score S3It is that the how many quantum chemical method of type is suffered from chronic diseases as a result, the higher expression illness of score to individual Type is fewer.
Step 3.2, summation is weighted according to 0.4,0.4,0.2 weight to above-mentioned three scores, total score can be obtained:
S=S1*0.4+S2*0.4+S3*0.2
That is Body health state score, and the Body health degree of the higher expression individual of score is better.
Advantageous effect
It is compared with scale method, Body health state quantified property used by this method facilitates acquisition, quantization method visitor It sees, stablize, verification method rationally, reliably, new thinking is provided for Body health state quantum chemical method.
Description of the drawings
Fig. 1 is that the Body health state based on serological index of the present invention quantifies computation model structure schematic diagram;
Fig. 2 is that Body health state quantifies parameter system in specific implementation mode;
Fig. 3 is the health degree curve of bilateral boundary index in specific implementation mode;
Fig. 4 is the health degree curve of unilateral lower limit in specific implementation mode;
Fig. 5 is the health degree curve of unilateral upper limit index in specific implementation mode;
Fig. 6 is that the Body health state based on serological index of the present invention quantifies computation model verification schematic diagram;
Fig. 7 is Body health state score distribution map in specific implementation mode;
Fig. 8 is Body health state score in specific implementation mode with the variation tendency for increasing age;
Specific implementation mode
In order to better illustrate objects and advantages of the present invention, the implementation with example to the method for the present invention below in conjunction with the accompanying drawings Mode is described in further details.
Test is completed on one computer, and concrete configuration is:CPU 2.93GHz, RAM 4.0GB, HDD 500G, 7 64 bit manipulation systems of Windows.
Experimental data is special from Ministry of Public Health's public welfare industry scientific research《Increase age to population health state and vitals function Combined influence》Questionnaire survey has chosen wherein 1694 samples, the data set of 63 dimension attributes.
It tests detailed process:
Step 1, structure Body health state quantization computation model is shown in Fig. 1, the Body health state quantizating index body of selection Fig. 2 sees in system, calculates the comprehensive score of Body health state.
Step 1.1, health degree of all samples in each serological index dimension is calculated.Wherein, bilateral circle of selection The health degree curve of limit index is shown in that Fig. 3, the health degree curve of unilateral lower limit are shown in that Fig. 4, the health of unilateral upper limit index write music Line is shown in Fig. 5;
Step 1.2, the Gini coefficients for calculating each serology quantizating index, according to of each sample actual quantization index Number, is adaptively calculated quantizating index weight;
Step 1.3, health risk score and functional status score are calculated separately, according to the chronic disease illness of each sample Number calculates disease condition score.Health risk score, functional status score and disease condition score linear weighted function are obtained into body The comprehensive score of health status.
Step 2, the accuracy of quantum chemical method system is verified, wherein Body health state quantization computation model verification Schematic diagram is shown in Fig. 6.
Step 2.1, the Body health state score distribution situation of plot exhibits entirety sample, and count each age group score Situation, plot exhibits;
Step 2.2, list discusses whether health risk score and functional status score have between the grouping of different health status There were significant differences, and whether there is significant correlation between the representative of each health status.
Test result:
Mainly pass through the reasonability of evaluation Body health state score in terms of following four:
1. whether score meets normal distribution;
2. whether score declines with the growth at age;
3. health risk score and functional status score between the grouping of different health status whether significant difference;
4. health risk score and functional status score and health status whether there is significant correlation between representing.
Gained Body health state score distribution map is shown in Fig. 7, can obtain the Body health state score in crowd and substantially conform to Normal distribution.Body health state score is shown in Fig. 8 with the variation tendency for increasing age, can obtain growth of the Body health state with the age, Apparent downward trend is presented in score, illustrates that distribution situation of the Body health state score in crowd is consistent with common sense.
Judge health risk score between the grouping of different health status whether significant difference, and and health status When whether there is significant correlation between representative, Tables 1 and 2 is seen:
Difference of the 1. health risk score of table between different grouping
Note:P≤0.05 indicates that there are significant differences
2. health risk score of table and health risk represent the correlation of index
Note:P≤0.05 indicates significantly correlated
From the results, it was seen that in addition to body-mass index, it is grouped according to other indexs, the mean value between each group is all There are significant differences.And score and grouping index are significantly correlated, illustrate that the high individual of health risk score tends to often transport It moves, through often eating egg/milk/dish, having certain hobby, it is intended to which Self-rated Health is good, satisfied to life, cognitive function is good.It is right In rear two indexs, higher than other two groupings of score mean value of intermediate packets are shown, i.e. body-mass index, waist-to-hipratio is suitable In individual, score is than body-mass index, waist-to-hipratio is relatively low or higher individual is slightly higher.Based on the above results, it can see Go out, the health risk score that the present invention is calculated is more conform with actual conditions, can effectively weigh health risk degree.
Arbitration functions state score between the grouping of different health status whether significant difference, and and health status When whether there is significant correlation between representative, it is shown in Table 3 and table 4:
Difference of the 3. functional status score of table between different grouping
Note:P≤0.05 indicates that there are significant differences
4. functional status score of table and health risk represent the correlation of index
Note:P≤0.05 indicates significantly correlated
From the results, it was seen that after functional status score is grouped according to most of grouping index, mean value exists between group Significant difference, and score and grouping index are significantly correlated.It should be noted that 6 meters of times, 5 times seat times, light reaction hands Time, the reaction of light reaction foot time this 4 physical ability situation index expressions be the execution time, thus index value smaller generation Table physical efficiency degree is relatively more excellent.It draws a conclusion based on the above results, functional status score is more conform with actual conditions, can be effective Weigh the quality of somatic function state in ground.
In summary four aspects, it is believed that the Body health state Quantitative Calculation Method based on serological index is objective, steady It is fixed, provide new approaches for Body health quantum chemical method.

Claims (4)

1. the Body health state Quantitative Calculation Method based on serological index, it is characterised in that the method includes walking as follows Suddenly:
Step 1, the concept for introducing " health degree ", the individual event serological index for quantization means individual are excellent in entire population Bad degree calculates indices health degree according to the clinical definition of each index and reference interval, and takes different samples adaptive Weighing computation method is answered to obtain quantizating index weight, detailed process is as follows:
Step 1.1, for the index of bilateral boundary, health degree calculation formula is:
Wherein, μ-α and μ+α indicate that 0.45 quantile and upper 0.55 quantile in normal distribution, namely [μ-α, μ+α] indicate respectively 10% value range among normal distribution, α byIt is calculated;
Step 1.2, for unilateral lower limit, health degree calculation formula is:
Wherein, [μ+α ,+∞)Indicate highest 10%, the α of index value range byIt is calculated;
Similarly, the calculation formula of unilateral upper limit index is:
To normal distribution index, μ and σ indicate mean value and standard deviation of the index on entire data set, refer to Non-Gaussian Distribution Mark, μ and σ then indicate median and standard deviation respectively;
Step 1.3, the Gini coefficients of every serology quantizating index are calculated, then the weight of every quantizating index can then indicate For:
Wherein, GiIndicate that the Gini coefficients of i-th of index, n indicate the total number of quantizating index;
Step 2, the health risk and functional status situation of quantum chemical method individual, and the individual chronic disease disease condition of combination respectively, The comprehensive quantification result of calculation of Body health state is obtained, detailed process is as follows:
Step 2.1, health risk score S1Indicate that individual Body health degree within the following certain time declines or occur apparent disease The degree of danger of disease, score is higher, and the degree of risk that represents is lower, and calculation formula is:
Functional status score S2Just whether operating status and histiocytic metaboilic level for quantifying individual organ, internal organs Often, the higher expression functional status of score is more stable, and calculation formula is:
Disease condition score S3It is that the how many quantum chemical method of type is suffered from chronic diseases as a result, the higher expression illness type of score to individual It is fewer;
Step 2.2, summation is weighted according to 0.4,0.4,0.2 weight to above-mentioned three scores, total score can be obtained:
S=S1*0.4+S2*0.4+S3*0.2
That is Body health state score, and the Body health degree of the higher expression individual of score is better.
2. the Body health state Quantitative Calculation Method according to claim 1 based on serological index, it is characterised in that: The concept of " health degree " is introduced in step 1, the individual event serological index for quantization means individual is excellent in entire population Bad degree;For bilateral, the index of the unilateral upper limit and unilateral lower limit, health degree has the different calculation formula, common ground to be:Work as finger Mark tends to higher than after certain y direction threshold value, and index health degree no longer increases.
3. the Body health state Quantitative Calculation Method according to claim 1 based on serological index, it is characterised in that: The Gini coefficients that every serology quantum chemical method index is calculated in step 1, to determine the weight of every quantum chemical method index.
4. the Body health state Quantitative Calculation Method according to claim 1 based on serological index, it is characterised in that: Quantum chemical method health risk, functional status and chronic disease disease condition in step 2, weighting acquire Body health state total score.
CN201810234091.3A 2018-03-21 2018-03-21 Body health state Quantitative Calculation Method based on serological index Pending CN108597606A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111276248A (en) * 2020-01-20 2020-06-12 苏州帕诺米克生物医药科技有限公司 State determination system and electronic device
CN112462073A (en) * 2020-11-03 2021-03-09 佛山市第一人民医院(中山大学附属佛山医院) Data processing method and system for hematology index

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111276248A (en) * 2020-01-20 2020-06-12 苏州帕诺米克生物医药科技有限公司 State determination system and electronic device
CN111276248B (en) * 2020-01-20 2023-09-12 苏州帕诺米克生物医药科技有限公司 State determination system and electronic device
CN112462073A (en) * 2020-11-03 2021-03-09 佛山市第一人民医院(中山大学附属佛山医院) Data processing method and system for hematology index

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Application publication date: 20180928