CN107169283A - A kind of life of elderly person environment Quantitative Calculation Method - Google Patents

A kind of life of elderly person environment Quantitative Calculation Method Download PDF

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CN107169283A
CN107169283A CN201710332100.8A CN201710332100A CN107169283A CN 107169283 A CN107169283 A CN 107169283A CN 201710332100 A CN201710332100 A CN 201710332100A CN 107169283 A CN107169283 A CN 107169283A
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elderly person
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罗森林
潘丽敏
高君丰
胡雅娴
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Beijing Institute of Technology BIT
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Abstract

Quantify score computation method the present invention relates to a kind of life of elderly person environment, belong to field of biomedicine technology.The present invention is built first meets the actual quantitative evaluation index system of Chinese Aged, and then each evaluation attribute weight is calculated using Information Entropy, and finally calculating life of elderly person environment hundred-mark system using TOPSIS algorithms quantifies score.The method of the invention, breach the limitation of existing environmental assessment method, realize the quantitative evaluation to old individual human living environment, give the quantization score of hundred-mark system, embody the personalized feature of old individual human, the purpose of careful division crowd is reached, instruction is provided for the personalized intervention of individual, a kind of thinking is provided for the quantitative evaluation of Chinese Aged living environment.

Description

A kind of life of elderly person environment Quantitative Calculation Method
Technical field
The present invention relates to a kind of life of elderly person environment Quantitative Calculation Method.Said from the angle of application scenarios, belong to biological Medicine technology field;For the angle realized from technology, computer science and Bioinformatics technical field are also belonged to.
Background technology
With the sharp increase of China's elderly population quantity, China just accelerates into aging society, will certainly so cause people A series of realistic problems such as loss, the social welfare pension load exacerbation of power capital, to the economic of China, society, politics, culture Development produces far-reaching influence.Living environment is material base for the survival of mankind, fine or not and each life of living environment Bioplasm amount and health status are all closely bound up.For the elderly colony, because the physical function of its own weakens, dislike Bad living environment produces even more serious negative effect to its health.Therefore, environment and the research of health have turned into currently Urgent problem, also will be important, eternal theme in human survival and development.
Research at present specifically designed for the assessment of elderly population living environment is actually rare, and existing environmental assessment method is main There are scaling method and comprehensive estimation method.Scaling method assesses key element formation scale by screening, and is then putd question to check on the spot, face to face Or the form of questionnaire is implemented to assess, and obtains a result;Comprehensive estimation method is then to build evaluation index system first to draw Evaluation attribute, then using evaluation attribute as independent variable, living environment assesses letter as dependent variable based on different algorithm constructions Number draws assessment result.
Conventional environmental assessment scale has ICF environment abridged table, TESS-NH scales, NEWS-A scales etc., the assessment in scale Item has all referred to the subjective and objective factor in terms of environment.
ICF environment abridged tables are the World Health Organization《International function, deformity and health classification》(abbreviation IFC) is on individual shape The sublist that environmental factor is tested in condition test, the scale is checked for clinician and used.The scale points out that environmental factor is constituted People live and instructed natural environment, social environment and the attitude environment that people live.Wherein evaluation item be divided into articles for use and Technology, natural environment and the artificial change to environment, are supported and correlation, attitude, service, system and policy, other are any The major class of backgroud factors etc. 6, totally 32 events.Scale application method is that dyspraxia factor and favorable factor are carried out to environment Marking, barrier factors from " accessible factor " to " complete barrier factors " are divided into 5 grades, and favorable factor is from " no favorable factor " It is divided into 5 grades to " complete favorable factor ".
TESS-NH scales are to be developed by Sloane for 1996, are treated for assessing geriatric nursing home on old dementia patients Property environmental quality level.The scale includes 12 assessment dimensions, 32 assessment contents, 84 assessment entries.Scale is by the people that works Member takes scene to check that the assessment mode being combined with interview is carried out.The scale forms Chinese edition by translation, modification.By Likert modes are used in scale score mode, thus it is subjective, in addition, assessment result is more rough.
NEWS-A scales are being the brief versions that propose on the basis of community's pedestrian environment scale (abbreviation NEWS).In the scale, Including living facilities facility situation, road conditions, beautify situation, 5 dimensions of traffic conditions and public security situation, totally 17 entries. Each entry is divided into 5 grades.The scale is specially assessed community's pedestrian environment in living environment.The validity of the scale and Reliability is preferable, but explanatory not ideal enough to assessment result.
Environmental assessment field comprehensive estimation method is also more commonly used.The general step of environment comprehensive appraisal procedure is:It is determined that Evaluation index system and index weights, calculate assessment result.But this method standard ununified at present, while easily Limited by other factors such as region, economic conditions, and it is assigned power method and depends on subjective weights method, therefore its mostly Promote difficulty larger.
To sum up analyze, specially also more lacked with the living environment evaluation studies of old artificial object, due to the old person The degeneration of body function, its sensitivity to environment will carry out quantization meter different from young people, therefore in order to more accurate to it Calculate, the emphasis that evaluation attribute is chosen will be different from existing scale;Living environment, which is assessed, needs comprehensive considering various effects, therefore Scaling method is difficult to accomplish comprehensive, and scaling method does not take into full account that the dependency relation between estimation items, and difference are commented Estimate difference of the item to assessment result role, so the also accuracy of impact evaluation result to a certain extent;Existing synthesis Appraisal procedure relies on expert and assigns power mostly in implementation process, and this results in this method and is limited to the know-how of expert, clinic Experience etc., so will result in the problems such as assessment result is subjective, appraisal procedure is difficult to promote to a certain extent.
The content of the invention
The purpose of the present invention is:Deficient for current elderly in the country's living environment appraisal procedure, existing appraisal procedure is pushed away The problems such as extensively difficulty is larger, assessment result is subjective, proposes that a kind of life of elderly person environment quantifies analysis method.Pass through meter Life of elderly person environment hundred-mark system score is calculated, the purpose for quantifying life of elderly person environment is reached.
The design principle of the present invention is as shown in figure 1, be specially:First, analysis current research obtains life of elderly person environment The generally acknowledged dependent evaluation attribute of research field;Then, the weights of each evaluation attribute are quantified based on Information Entropy;Finally use The hundred-mark system that TOPSIS algorithms calculate life of elderly person environment quantifies score.The present invention can provide one hundred for individual state Divide the quantized value of system, fully demonstrate the individualized feature of individual, the limitation of existing method is made up to a certain extent.
The technical scheme is that be achieved by the steps of:
Step 1, analyze and screen life of elderly person environmental assessment attribute, complete the pretreatment of data, concrete methods of realizing For:
Step 1.1, living environment is assessed in the achievement in research more accepted in comprehensive analysis living environment research field Factor, with reference to expert opinion, hierarchical screening life of elderly person environmental assessment attribute constitutes life of elderly person environmental assessment index body System;
Step 1.2, data to be analyzed after cleaning are obtained and constitute data set, wherein being commented per data comprising n dimension living environments Estimate attribute, using evaluation attribute as column vector, using the corresponding property value of different samples as row vector, build data set X and be labeled as [Xij]。
Step 2, data set X={ x are obtained to step 1ij, using entropy enabling legislation, calculate and often tie up evaluation attribute to life The effect degree of environment, that is, realize the tax power of evaluation attribute, and concrete methods of realizing is:
Step 2.1, data normalization, it is assumed that the normalized matrix after being standardized to each attribute data is Y={ yij, andWherein 0≤yij≤1;
Step 2.2, the comentropy of each evaluation attribute is calculated, according to the definition of comentropy in information theory, one group of data Comentropy computational methods:
WhereinIf pij=0, then define
Step 2.3, the weight of each index is calculated, the comentropy of each evaluation attribute calculated by step 2.2 is successively For E1,E2,…,Em, the weight of each attribute is calculated by comentropy:
Wherein, WjAs jth ties up the weight of evaluation attribute.
Step 3, using TOPSIS methods, calculate life of elderly person environment and quantify score, concrete methods of realizing is:
Step 3.1, normalized matrix Y={ y step 2.1 obtainedijStandardized, construct specified decision matrix Z ', its element is Z 'ij, and have:
I=1 in formula, 2 ..., n, j=1,2 ..., m;
Step 3.2, the matrix that step 3.1 is obtained is weighted, constructs weighted decision matrix, weight is obtained using step 2 To result, computational methods:
Zij=WjZ′ij
I=1 in formula, 2 ..., n, j=1,2 ..., m, WjFor the weight of j-th of evaluation attribute, obtained by step 2.3;
Step 3.3, ideal solution and minus ideal result are determined, if element Z in decision matrix ZijThe bigger expression assessment result of value It is better, computational methods:
Wherein Z+For ideal solution, Z-For minus ideal result;
Step 3.4, each sample is calculated to ideal point apart from SiWith the distance to Negative ideal pointComputational methods:
Wherein, i=1,2 ..., n;
Step 3.5, relative proximities C of each sample for ideal solution is calculatedi, and be ranked up, computational methods:
Wherein, i=1,2 ..., n, and 0≤Ci≤1;
Step 3.6, relative proximities C step 3.5 obtainediIt is converted into hundred-mark system and quantifies score, computational methods:
scorei=100*Ci
Wherein, i=1,2 ..., n, scoreiFor the quantization score of single life of elderly person environment.
Beneficial effect
Compared to existing scale score method, the old life of fusion Information Entropy and TOPSIS algorithms proposed by the present invention Environment Quantitative Calculation Method, by quantifying effect degree of the evaluation attribute to assessment result, improves the accuracy of assessment result.
Compared to the method for having used Objective Weight based on the entitled comprehensive estimation method of expert, institute's extracting method of the present invention, Human factor is eliminated, assessment result is more focused on the meaning that data are reflected in itself, method is improved to a certain extent Universality, and greatly reduce the assessment time, improve living environment and assess efficiency.Valency is used so as to which this method has more Value.
Institute's extracting method of the present invention, breaches the limitation of existing environmental assessment method, is Chinese Aged living environment Quantitative evaluation provides a kind of thinking.Living environment is the extremely complex comprehensive system under a many factors collective effect in itself System, accurate quantum chemical method is carried out with this method to it, can be embodied the individualized feature of individual, be reached the effect of refinement crowd Really, reference is provided for the personalized intervention of individual, it will help improve the living environment quality of numerous the elderlys.
Brief description of the drawings
Fig. 1 is life of elderly person environment Quantitative Calculation Method schematic diagram proposed by the present invention;
Fig. 2 is in embodiment, life of elderly person environment quantifies evaluation index system;
Fig. 3 is in embodiment, life of elderly person environment quantifies score distribution map.
Embodiment
In order to better illustrate objects and advantages of the present invention, the implementation with example to the inventive method below in conjunction with the accompanying drawings Mode is described in further details.
Test data is that 2011~2012 years Beijing Hospitals combine the survey data of national 7 provinces and cities, 13 hospitals, using tune The mode for interrogating volume carries out data acquisition, and questionnaire is by ministry of Health of China sector fund the elder's health comprehensive assessment seminar With Chinese Aged health care and disease prevention and cure alliance co-design, its content mainly includes:Basic condition, Body health assess, Somatic function assessment, life-form structure and social function assessment, mental health, cognitive function, medical conditions, the elderly's disability grade Assess 9 major classes, 145 events, the altogether inspection of 482 problems such as table, auxiliary examination.Eventually passing through to be integrally formed has The database of 9503 samples, totally 524 dimension attributes.
The experimental situation tested below is same computer, and it is configured to:2.93GHz CPU, 4.0GB internal memories, Windows7 operating systems.
First link
This link is original data source using data source.Describe the screening process of life of elderly person environmental assessment attribute in detail And evaluation system building process.Specific implementation step is as follows:
Step 1.1, living environment is assessed in the achievement in research more accepted in comprehensive analysis living environment research field Factor, with reference to expert opinion, the project based on questionnaire, according to natural and two classifications of society, material and immaterial two Angle, obtains the dimension evaluation attribute of living environment 10:Location (geographical coordinate), H/S, existing residence, once occupation, Monthly income, schooling, interpersonal relationships, participation ability, life feeling, stand-alone capability, constitute evaluation index system, such as Fig. 2 institutes Show;
Step 1.2, the deletion of vacancy value and Attributions selection are carried out to initial data, finally given including 10 dimension evaluation attributes 7938 datas.
Second link
This link uses the data source that data source is that a upper link is obtained.Describe life of elderly person environmental assessment attribute in detail Weight computations.Specific implementation step is as follows:
Step 2.1,7938 datas with 10 dimension evaluation attributes are standardized, obtain matrix Y={ yij, Wherein 0≤yij≤1;
Step 2.2, the comentropy E of each evaluation attribute is calculatedj
Step 2.3, the weight W of each evaluation attribute is calculatedj
The weight of 10 dimension evaluation attributes is shown in Table 1:
The evaluation attribute weight of table 1
3rd link
This link uses the data source that data source is that the first link is obtained.Describe life of elderly person environment in detail and quantify score Calculating process.Specific implementation step is as follows:
Step 3.1, the normalized matrix Y that step 2.1 is obtained is standardized, construction specified decision matrix Z ';
Step 3.2, the matrix that step 3.1 is obtained is weighted, construction weighted decision matrix Zij, evaluation attribute power Weight is step 2 acquired results;
Step 3.3, ideal solution Z is calculated+With minus ideal result Z-
Step 3.4, each sample is calculated to ideal point apart from SiWith the distance to Negative ideal point
Step 3.5, relative proximities C of each sample for ideal solution is calculatedi
Step 3.6, relative proximities C step 3.5 obtainediIt is converted into hundred-mark system and quantifies score, final living environment Quantify score distribution as shown in Figure 3.
The problem of present invention is for lacking at present suitable for Chinese Aged living environment quantitative estimation method first, its The secondary expert's Evaluation Method that is directed to is because experience limitation causes evaluation attribute weights accuracy not enough and evaluation process is complicated poorly efficient Problem, and scaling method ignore the problem of evaluation attribute is to final result effect degree otherness, it is proposed that a kind of old life Environment Quantitative Calculation Method living.Quantifying experiment with computing by life of elderly person environment proves that this method can be by individual life cycle Border is provided in the form of hundred-mark system, can meticulously divide crowd, is provided simultaneously with less evaluation attribute and less attribute is adopted Collect difficulty, this method is simple efficient on life of elderly person environment quantization score is calculated, it is easy to promote, great use value.Together When this method can be used as senior health and fitness other aspect correlation analyses, the technology and method of quantum chemical method as theoretical research Basis.

Claims (3)

1. a kind of life of elderly person environment Quantitative Calculation Method, it is characterised in that the described method comprises the following steps:
Step 1, analyze and screen life of elderly person environmental assessment attribute, build life of elderly person environmental assessment index system, it is complete Into the pretreatment of data, data set S to be analyzed is obtained;
Step 2, data set S is obtained to step 1, using entropy enabling legislation, calculates often effect of the dimension evaluation attribute to living environment Degree, obtains the weight of evaluation attribute;
Step 3, the evaluation attribute weight obtained based on step 2, using TOPSIS methods, is calculated and obtains life of elderly person environment Quantify score.
2. according to the method described in claim 1, it is characterised in that the entitled step of life of elderly person environmental assessment attribute Specifically include:
Step 2.1, for data set S={ xij, data normalization is carried out, computational methods are: Obtain normalized matrix Y={ yij};
Step 2.2, the normalized matrix Y obtained based on step 2.1, calculates the comentropy E per one-dimensional evaluation attributej, computational methods For:
<mrow> <msub> <mi>E</mi> <mi>j</mi> </msub> <mo>=</mo> <mo>-</mo> <mi>ln</mi> <msup> <mrow> <mo>(</mo> <mi>n</mi> <mo>)</mo> </mrow> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msup> <munderover> <mi>&amp;Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>p</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mi>ln</mi> <mi> </mi> <msub> <mi>p</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> </mrow>
Wherein
Step 2.3, the comentropy E obtained based on step 2.2j, calculate the weight W per one-dimensional evaluation attributej, computational methods are:
<mrow> <msub> <mi>W</mi> <mi>j</mi> </msub> <mo>=</mo> <mfrac> <mrow> <mn>1</mn> <mo>-</mo> <msub> <mi>E</mi> <mi>j</mi> </msub> </mrow> <mrow> <mi>m</mi> <mo>-</mo> <msub> <mi>&amp;Sigma;E</mi> <mi>j</mi> </msub> </mrow> </mfrac> </mrow>
Wherein j=1,2 ..., m.
3. according to the method described in claim 1, it is characterised in that the life of elderly person environment quantifies the step of score is calculated Specifically include:
Step 3.1, normalized matrix Y={ y step 2.1 obtainedijStandardized, specified decision matrix Z ' is constructed, Its element is Z 'ij, computational methods are:
<mrow> <msubsup> <mi>Z</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> <mo>&amp;prime;</mo> </msubsup> <mo>=</mo> <mfrac> <msub> <mi>y</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <msqrt> <mrow> <msubsup> <mi>&amp;Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </msubsup> <msubsup> <mi>y</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> <mn>2</mn> </msubsup> </mrow> </msqrt> </mfrac> </mrow>
I=1 in formula, 2 ..., n, j=1,2 ..., m;
Step 3.2, the matrix Z ' that step 3.1 is obtained is weighted, constructs weighted decision matrix Z, each evaluation attribute weight The W obtained for step 2j, computational methods are:
Zij=WjZ′ij
I=1 in formula, 2 ..., n, j=1,2 ..., m, WjThe weight of evaluation attribute is tieed up for jth;
Step 3.3, the ideal solution and minus ideal result in decision matrix Z are determined, computational methods are:
<mrow> <msup> <mi>Z</mi> <mo>+</mo> </msup> <mo>=</mo> <mrow> <mo>(</mo> <msubsup> <mi>Z</mi> <mn>1</mn> <mo>+</mo> </msubsup> <mo>,</mo> <msubsup> <mi>Z</mi> <mn>2</mn> <mo>+</mo> </msubsup> <mo>,</mo> <mo>...</mo> <mo>,</mo> <msubsup> <mi>Z</mi> <mi>m</mi> <mo>+</mo> </msubsup> <mo>)</mo> </mrow> <mo>=</mo> <mo>{</mo> <munder> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> <mi>i</mi> </munder> <msub> <mi>Z</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>|</mo> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mo>...</mo> <mo>,</mo> <mi>m</mi> <mo>}</mo> </mrow> 1
<mrow> <msup> <mi>Z</mi> <mo>-</mo> </msup> <mo>=</mo> <mrow> <mo>(</mo> <msubsup> <mi>Z</mi> <mn>1</mn> <mo>-</mo> </msubsup> <mo>,</mo> <msubsup> <mi>Z</mi> <mn>2</mn> <mo>-</mo> </msubsup> <mo>,</mo> <mo>...</mo> <mo>,</mo> <msubsup> <mi>Z</mi> <mi>m</mi> <mo>-</mo> </msubsup> <mo>)</mo> </mrow> <mo>=</mo> <mo>{</mo> <munder> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> <mi>i</mi> </munder> <msub> <mi>Z</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>|</mo> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>...</mn> <mo>,</mo> <mi>m</mi> <mo>}</mo> </mrow>
Wherein Z+For ideal solution, Z-For minus ideal result;
Step 3.4, the ideal solution and minus ideal result obtained based on step 3.3, calculates each sample to ideal point apart from SiWith to The distance of Negative ideal pointComputational methods are:
<mrow> <msub> <mi>S</mi> <mi>i</mi> </msub> <mo>=</mo> <msqrt> <mrow> <munderover> <mi>&amp;Sigma;</mi> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </munderover> <msup> <mrow> <mo>(</mo> <mrow> <msub> <mi>Z</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>-</mo> <msubsup> <mi>Z</mi> <mi>j</mi> <mo>+</mo> </msubsup> </mrow> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> </msqrt> </mrow>
<mrow> <msubsup> <mi>S</mi> <mi>i</mi> <mo>-</mo> </msubsup> <mo>=</mo> <msqrt> <mrow> <munderover> <mi>&amp;Sigma;</mi> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </munderover> <msup> <mrow> <mo>(</mo> <mrow> <msub> <mi>Z</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>-</mo> <msubsup> <mi>Z</mi> <mi>j</mi> <mo>-</mo> </msubsup> </mrow> <mo>)</mo> </mrow> <mn>2</mn> </msup> </mrow> </msqrt> </mrow>
Wherein, i=1,2 ..., n;
Step 3.5, the distance obtained based on step 3.4, calculates relative proximities C of each sample for ideal solutioni, go forward side by side Row sequence, computational methods:
<mrow> <msub> <mi>C</mi> <mi>i</mi> </msub> <mo>=</mo> <mfrac> <msubsup> <mi>S</mi> <mi>i</mi> <mo>-</mo> </msubsup> <mrow> <msubsup> <mi>S</mi> <mi>i</mi> <mo>+</mo> </msubsup> <mo>+</mo> <msub> <mi>S</mi> <mi>i</mi> </msub> </mrow> </mfrac> </mrow>
Wherein, i=1,2 ..., n, and 0≤Ci≤1;
Step 3.6, relative proximities C step 3.5 obtainediIt is converted into hundred-mark system and quantifies score, computational methods:
scorei=100*Ci
Wherein, i=1,2 ..., n, scoreiFor the quantization score of single life of elderly person environment.
CN201710332100.8A 2017-05-12 2017-05-12 A kind of life of elderly person environment Quantitative Calculation Method Pending CN107169283A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111832893A (en) * 2020-06-03 2020-10-27 昆明理工大学 Medical health career service level assessment method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111832893A (en) * 2020-06-03 2020-10-27 昆明理工大学 Medical health career service level assessment method

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