CN105354414A - Hierarchical analysis-based human body health condition assessment method - Google Patents

Abstract

The present invention discloses a hierarchical analysis-based human body health condition assessment method. The method comprises: firstly, constructing a human body health condition assessment model according to human body physiological parameter information; determining scale information, and generating a determination matrix; performing consistency verification on the determination matrix, and if the determination matrix does not meet the consistency, returning to the last step to re-generate a determination matrix until the determination matrix meets the consistency, and if the determination matrix meets the consistency, entering into the next step; performing hierarchy single ranking and hierarchy general ranking on the determination matrix; and according to importance weight information of the hierarchy general ranking, obtaining a health condition assessment result of an assessed object. According to the technical scheme provided by the present invention, the human body physiological parameter information of heart rate, body temperature, oxygen saturation, blood pressure and blood glucose and the like, which are currently used for assessing the human body health condition, is integrated, the human body health condition assessment model is constructed, and the whole assessment system is presented orderly and hierarchically, so as to help unprofessional personnel to learn about the health condition clearly and definitely.

Description

A kind of human health status appraisal procedure based on step analysis

Technical field

The present invention relates to a kind of human health status appraisal procedure.

Background technology

Along with the raising of people's health care consciousness, people more and more focus on healthy.The joint study of University of Washington, University of Southern California and University of Colorado shows, especially along with the development of coming few decades aging, the assessment for health state becomes important all the more.Along with the continuous progress of medical science, the prevention direction from diagnoses and treatment to early stage gradually of focus from the later stage is passed by increasing people gradually.Present Research based on current biomedical sector is known: the body temperature of human body, blood pressure, blood oxygen saturation, the physiological parameter such as blood oxygen and blood sugar have important impact to human health status.Nearest people have carried out research like a raging fire about the mancarried device of tele-medicine, and prior art has existed for human body related physiological parameters monitoring device and human health detection system aspect, such as, human pulse information collecting device disclosed in patent documentation CN102247128A and human health status monitor device, it can be assessed human health status by detecting pulse wave, but its shortcoming is to monitor a parameter, cannot carry out comprehensively, all sidedly evaluating for human health status, patent documentation CN203898280U discloses a kind of health state monitoring apparatus, it can realize the monitoring to blood sugar, blood pressure, body temperature, heart rate, these five kinds of physiological parameters of blood oxygen saturation, but it is only confined to the monitoring to parameters, the also just the most original expert data provided, for the medical worker not having too many clinical experience and layman, be difficult to understand the current health status of human body simply, intuitively, exactly according to these untreated expert data, and patent documentation CN104257354A discloses a kind of mobile phone with healthy evaluation function, a kind of human health detection system is disclosed in patent documentation CN202960484U, patent documentation CN204618430U discloses a kind of family expenses human health detection system all can realize Real-Time Monitoring physiological parameter and the function to intelligent terminal feedback human health status, but they are for single individual consumer mostly, and it is very large to the peripheral hardware devices such as mobile internet and large-scale long-range medical server dependence, its human health status evaluation function can be lost undoubtedly in some unable these remote mountain areas that provide.

Summary of the invention

The object of the present invention is to provide a kind of human health status appraisal procedure, the method builds human health status assessment models based on analytical hierarchy process, incorporate at present for assessment of the heart rate of human health status, body temperature, blood oxygen saturation, the human body physiological parameter such as blood pressure and blood sugar information, tradition is effectively weakened based on the error caused by single parameter assessment by the fusion of multi-source heterogeneous parameter, both can realize single individual consumer and understand physical condition in real time, and the physical condition category filter of large density feature group can be realized, avoid the undue dependence to large-scale long-range medical server or database simultaneously, method is simple and reliable, thus the practicality of this health appraisal procedure can be improved, applicability under validity and particular surroundings.

For reaching above object, the present invention takes following technical scheme to be achieved:

Based on a human health status appraisal procedure for step analysis, it is characterized in that, comprise the steps:

(1) according to human body physiological parameter information architecture human health status assessment models, wherein, human body physiological parameter information comprises heart rate B1, body temperature B2, blood oxygen saturation B3, blood pressure B4, blood sugar B5; Described assessment models comprises top A, middle layer B and lowermost layer C, for large density with feature colony evaluation object C1 ..., Cm health status category filter; Or for single evaluation object Ci moment T1 ..., Tm physical condition real-time assessment, wherein top is the health status of evaluation object, is divided into normal category, slight bad category and serious bad category 3 grades, is also called destination layer; Middle layer is the human body physiological parameter determining evaluation object health status, is also called rule layer; The bottom is evaluation object, is also called object layer; Wherein m is the number of evaluation object, is a natural number;

(2) scale information is determined;

(3) judgment matrix is generated:

Relative to top A, B each factor relative importance in middle layer compares, and judgment matrix A-B is as follows:

Compare relative to each factor relative importance of middle layer B, lowermost layer C, judgment matrix B _k-C is as follows:

Wherein m is the number of evaluation object, k=1,2,3,4,5;

(4) test and judge matrix A-B, B _kthe consistance of-C, wherein, the computing formula of coincident indicator CI and random Consistency Ratio CR is respectively:

$\begin{array}{cc}CI=\frac{{\mathrm{\λ}}_{\max }-n}{n-1}& CR=\frac{CI}{RI}\end{array}$

In formula, λ _maxfor the maximal value of judgment matrix proper vector, n is the line number of judgment matrix, and RI is Aver-age Random Consistency Index; As CR<0.1, think that judgment matrix meets coherence request, enter next step; Otherwise just need to return step (3) and readjust judgment matrix until it meets coherence request;

(5) to judgment matrix A-B, B _k-C carries out Mode of Level Simple Sequence and total hierarchial sorting;

(6) according to the relatively top significance level value information of lowermost layer, the health Evaluation result of m evaluation object is obtained.

In said method, step (2) described scale information comprises of equal importance, important a little, important, extremely important, definitely important, its scale value represents by numeral 1,3,5,7,9 respectively, and represents with 2,4,6,8 the intermediate value that above-mentioned relative importance judges.

Number m≤20 of evaluation object.

Compared with prior art, advantage of the present invention is:

1, the present invention neither pursues advanced mathematics simply, the experience of also not unilateral dependence people and subjective judgement, water quality assessment is according to current analytical hierarchy process, Financial Risks is assessed, the successful Application in the fields such as Cell Performance Evaluation and Electric Power Equipment Insulation Performance Evaluation, analytical hierarchy process is used to build human health status assessment models, by orderly for whole evaluation system, show with having levels, the assessment result provided can make layman clear, be expressly understood that self health status, thus even great importance has been treated to be correlated with the adjustment even prevention of disease of vital movement of human body.

2, the present invention incorporates the current heart rate for assessment of human health status, body temperature, blood oxygen saturation, blood pressure and these five characteristic parameters of blood sugar, effectively weakens based on the error caused by the single parameter assessment of tradition by the fusion of multi-source heterogeneous parameter; Both can realize single individual consumer according to the human health status appraisal procedure based on step analysis and understand physical condition in real time, and the healthy situation screening of large density feature colony can be realized, avoid the undue dependence to large-scale long-range medical server or database simultaneously, human health status can be assessed more all sidedly, and appraisal procedure is simple and reliable, thus improve the applicability under the practicality of this health appraisal procedure, validity and particular surroundings.

Accompanying drawing explanation

Fig. 1 is the schematic flow sheet of the inventive method.

Fig. 2 is the assessment models hierarchical chart in the inventive method.

Embodiment

Below in conjunction with accompanying drawing, also by specific embodiment, the present invention is described in further detail.

As shown in Figure 1, a kind of human health status appraisal procedure based on step analysis, according to human body physiological parameter information architecture human health status assessment models during beginning, its hierarchical chart is as shown in Figure 2; And then according to scale information, determine that B each factor in middle layer is relative to top A and each factor of the bottom C significance level relative to each factor of middle layer B, generates judgment matrix A-B, B _k-C; And test and judge matrix A-B, B _kthe consistance of-C, if do not meet coherence request, then returns previous step to judgment matrix A-B, B _k-C carries out adjusting until meet coherence request, if meet coherence request, then to judgment matrix A-B, B _k-C carries out Mode of Level Simple Sequence and total hierarchial sorting; Last according to the relatively top significance level value information of lowermost layer, the health Evaluation result of a computer export m evaluation object.Specifically comprise the following steps:

Step 1) m=5 in the present embodiment, namely 5 evaluation objects are chosen, and provide its actual physiological parameter information, concrete data are as shown in table 1, wherein these 5 evaluation objects are rest state lower 30 years old adult male on an empty stomach, belong to normal according to documents and materials known evaluation object C1 health status, evaluation object C2 ..., there is abnormal situation in various degree in C5, and evaluation object C1 ..., C5 health status be deteriorated successively.

Table 1 human body physiological parameter information data

Step 2) human health status assessment models as shown in Figure 2, comprise top A, middle layer B and lowermost layer C, wherein top is the health status of evaluation object, is also called destination layer; Middle layer is the human body physiological parameter determining evaluation object health status, is also called rule layer; The bottom is evaluation object, is also called object layer.

Step 3) according to scale information, determine that B each factor in middle layer is relative to top A and each factor of the bottom C significance level relative to each factor of relative middle layer B.Scale is as the judging basis of each factor relative importance of every level, and namely significance level that is relative to each factor of next level and last layer time each factor provides the accurate quantificational expression of science.Scale information comprises of equal importance, important a little, important, extremely important and definitely important, and its scale value represents with 1,3,5,7,9 respectively, represents the intermediate value of adjacent scale value with 2,4,6,8 respectively simultaneously.Numeral 1 to 9 is 9 points of position ratios, and concrete scale value is as shown in table 2.

Table 2 scale implication table

The present embodiment is according to the influence degree size of different physiological parameter to human health status, and the heart rate B1 of setting middle layer B, body temperature B2, blood oxygen saturation B3, blood pressure B4, blood sugar B5 are respectively 1,3,4,5,7 relative to the significance level of top A; In like manner, the significance level of each factor of lowermost layer C relative to each factor of middle layer B can be set according to the actual conditions of evaluation object.

Step 4) generate judgment matrix A-B and judgment matrix B _k-C is as follows.

$A-B={\left(\begin{array}{ccccc}1& 1/3& 1/4& 1/5& 1/7\\ 3& 1& 3/4& 3/5& 3/7\\ 4& 4/3& 1& 4/5& 4/7\\ 5& 5/3& 5/4& 1& 5/7\\ 7& 7/3& 7/4& 7/5& 1\end{array}\right)}_{5\&times;5}{B}_1-C={\left\{\begin{array}{ccccc}1& 1/2& 1/3& 1/4& 1/5\\ 2& 1& 2/3& 1/2& 2/5\\ 3& 3/2& 1& 3/4& 3/5\\ 4& 2& 4/3& 1& 4/5\\ 5& 5/2& 5/3& 5/4& 1\end{array}\right\}}_{5\&times;5}$

$B_2-C={\left(\begin{array}{ccccc}1& 2/3& 1/2& 2/5& 1/3\\ 3/2& 1& 3/4& 3/5& 1/2\\ 2& 4/3& 1& 4/5& 2/3\\ 5/2& 5/3& 5/4& 1& 5/7\\ 3& 2& 3/2& 6/5& 1\end{array}\right)}_{5\&times;5}{B}_3-C={\left\{\begin{array}{ccccc}1& 3/4& 3/5& 1/2& 3/7\\ 4/3& 1& 4/5& 2/3& 4/7\\ 5/3& 5/4& 1& 5/6& 5/7\\ 2& 3/2& 6/5& 1& 6/7\\ 7/3& 7/4& 7/5& 7/6& 1\end{array}\right\}}_{5\&times;5}$

$B_4-C={\left(\begin{array}{ccccc}1& 4/5& 2/3& 4/7& 1/2\\ 5/4& 1& 5/6& 5/7& 5/8\\ 3/2& 6/5& 1& 6/7& 3/4\\ 7/4& 7/5& 7/6& 1& 7/8\\ 2& 8/5& 4/3& 8/7& 1\end{array}\right)}_{5\&times;5}{B}_5-C={\left\{\begin{array}{ccccc}1& 5/6& 5/7& 5/8& 5/9\\ 6/5& 1& 6/7& 3/4& 2/3\\ 7/5& 7/6& 1& 7/8& 7/9\\ 8/5& 4/3& 8/7& 1& 8/9\\ 9/5& 3/2& 9/7& 9/8& 1\end{array}\right\}}_{5\&times;5}$

Step 5) test and judge matrix consistance and and carry out Mode of Level Simple Sequence.

First judgment matrix A-B, B is calculated respectively according to root method _kthe Maximum characteristic root λ of-C _maxand to corresponding standardized feature vector S, specific as follows:

(1) to judgment matrix A-B, B _k-C is normalized respectively, makes each column element sum be 1, namely

$\begin{array}{cc}{v}_{ij}=u_{ij}/\underset{i=1}{\overset{n}{\&Sigma;}}{u}_{ij}=u_{ij}/\underset{i=1}{\overset{5}{\&Sigma;}}{u}_{ij}& j=1,2,3,4,5\end{array}$

U in formula _ijthe ratio of expression factor i and the significance level of factor j, ratio is larger, then represent that factor i significance level is higher, otherwise illustrates that factor i significance level is lower.

(2) judgment matrix after normalization is sued for peace by row

$\begin{array}{cc}{w}_i=\underset{j=1}{\overset{n}{\&Sigma;}}{v}_{ij}=\underset{j=1}{\overset{5}{\&Sigma;}}{v}_{ij}& i=1,2,3,4,5\end{array}$

(3) to w _ibe normalized, can obtain and judgment matrix A-B, B _kthe standardized feature vector that-C is corresponding, specific as follows:

$\begin{array}{cc}{s}_i=w_i/\underset{i=1}{\overset{n}{\&Sigma;}}{w}_i=w_i/\underset{i=1}{\overset{5}{\&Sigma;}}{w}_i& i=1,2,3,4,5\end{array}$

S＝(s ₁,s ₂,s ₃,s ₄,s ₅) ^Τ

(4) combining step (1), (2), (3) can calculate judgment matrix A-B, B _kthe Maximum characteristic root of-C is as follows:

${\mathrm{\&lambda;}}_{\max }=\frac{1}{n}\underset{i=1}{\overset{n}{\&Sigma;}}\frac{{\mathrm{As}}_i}{s_i}=\frac{1}{5}\underset{i=1}{\overset{5}{\&Sigma;}}\frac{{\mathrm{As}}_i}{s_i}$

Secondly the consistance of test and judge matrix, needs to calculate coincident indicator CI, and inquires about Aver-age Random Consistency Index RI, as shown in table 3.As random Consistency Ratio CR=CI/RI<0.10, can think that the result sorted based on analytical hierarchy process meets coherence request, also namely the distribution of weight coefficient is reasonable; Otherwise, need to return to step 4) and the element value of adjustment judgment matrix, and regenerate judgment matrix until meet coherence request.

Table 3 Aver-age Random Consistency Index RI

n	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15
																RI	0	0	0.52	0.89	1.12	1.26	1.36	1.41	1.46	1.49	1.52	1.54	1.56	1.58	1.59

Judgment matrix A-B, B _kthe consistency check result of-C is as follows:

(1) the consistency check result of judgment matrix A-B is as follows.

$A-B={\left(\begin{array}{ccccc}1/20& 1/20& 1/20& 1/20& 1/20\\ 3/20& 3/20& 3/20& 3/20& 3/20\\ 1/5& 1/5& 1/5& 1/5& 1/5\\ 1/4& 1/4& 1/4& 1/4& 1/4\\ 7/20& 7/20& 7/20& 7/20& 7/20\end{array}\right)}_{5\&times;5}\&DoubleRightArrow;S_{A-B}={\left(\begin{array}{c}0.05\\ 0.15\\ 0.20\\ 0.25\\ 0.35\end{array}\right)}_{5\&times;1}\&DoubleRightArrow;$

${\mathrm{\&lambda;}}_{\max A-B}=5.00\&DoubleRightArrow;{\mathrm{CI}}_{A-B}=0\&DoubleRightArrow;{\mathrm{CR}}_{A-B}={\mathrm{CI}}_{A-B}/RI=0/1.12=0<0.10\&DoubleRightArrow;$ Judgment matrix A-B meets coherence request.

(2) judgment matrix B ₁the consistency check result of-C is as follows:

$B_1-C={\left(\begin{array}{ccccc}1/15& 1/15& 1/15& 1/15& 1/15\\ 2/15& 2/15& 2/15& 2/15& 2/15\\ 1/5& 1/5& 1/5& 1/5& 1/5\\ 4/15& 4/15& 4/15& 4/15& 4/15\\ 1/3& 1/3& 1/3& 1/3& 1/3\end{array}\right)}_{5\&times;5}\&DoubleRightArrow;S_{B_1-C}={\left(\begin{array}{c}0.07\\ 0.13\\ 0.20\\ 0.27\\ 0.33\end{array}\right)}_{5\&times;1}\&DoubleRightArrow;$

${\mathrm{\&lambda;}}_{{\mathrm{maxB}}_1-C}=5.01\&DoubleRightArrow;{\mathrm{CI}}_{B_1-C}=0.003\&DoubleRightArrow;{\mathrm{CR}}_{B_1-C}={\mathrm{CI}}_{B_1-C}/RI=0.003/1.12=0.0027<0.10\&DoubleRightArrow;$ Judgment matrix B ₁-C meets coherence request.

(3) judgment matrix B ₂the consistency check result of-C is as follows.

$B_2-C={\left(\begin{array}{ccccc}1/10& 1/10& 1/10& 1/10& 1/10\\ 3/20& 3/20& 3/20& 3/20& 3/20\\ 1/5& 1/5& 1/5& 1/5& 1/5\\ 1/4& 1/4& 1/4& 1/4& 1/4\\ 3/10& 3/10& 3/10& 3/10& 3/10\end{array}\right)}_{5\&times;5}\&DoubleRightArrow;S_{B_2-C}={\left(\begin{array}{c}0.10\\ 0.15\\ 0.20\\ 0.25\\ 0.30\end{array}\right)}_{5\&times;1}\&DoubleRightArrow;$

${\mathrm{\&lambda;}}_{{\mathrm{maxB}}_2-C}=5.00\&DoubleRightArrow;{\mathrm{CI}}_{B_2-C}=0\&DoubleRightArrow;{\mathrm{CR}}_{B_2-C}={\mathrm{CI}}_{B_2-C}/RI=0/1.12=0<0.10\&DoubleRightArrow;$ Judgment matrix B ₂-C meets coherence request.

(4) judgment matrix B ₃the consistency check result of-C is as follows.

$B_3-C={\left(\begin{array}{ccccc}3/25& 3/25& 3/25& 3/25& 3/25\\ 4/25& 4/25& 4/25& 4/25& 4/25\\ 1/5& 1/5& 1/5& 1/5& 1/5\\ 6/25& 6/25& 6/25& 6/25& 6/25\\ 7/25& 7/25& 7/25& 7/25& 7/25\end{array}\right)}_{5\&times;5}\&DoubleRightArrow;S_{B_3-C}={\left(\begin{array}{c}0.12\\ 0.16\\ 0.20\\ 0.24\\ 0.28\end{array}\right)}_{5\&times;1}\&DoubleRightArrow;$

${\mathrm{\&lambda;}}_{{\mathrm{maxB}}_3-C}=5.00\&DoubleRightArrow;{\mathrm{CI}}_{B_3-C}=0\&DoubleRightArrow;{\mathrm{CR}}_{B_3-C}={\mathrm{CI}}_{B_3-C}/RI=0/1.12=0<0.10\&DoubleRightArrow;$ Judgment matrix B ₃-C meets coherence request.

(5) judgment matrix B ₄the consistency check result of-C is as follows.

$B_4-C={\left(\begin{array}{ccccc}2/15& 2/15& 2/15& 2/15& 2/15\\ 1/6& 1/6& 1/6& 1/6& 1/6\\ 1/5& 1/5& 1/5& 1/5& 1/5\\ 7/30& 7/30& 7/30& 7/30& 7/30\\ 4/15& 4/15& 4/15& 4/15& 4/15\end{array}\right)}_{5\&times;5}\&DoubleRightArrow;S_{B_4-C}={\left(\begin{array}{c}0.13\\ 0.17\\ 0.20\\ 0.23\\ 0.27\end{array}\right)}_{5\&times;1}\&DoubleRightArrow;$

${\mathrm{\&lambda;}}_{{\mathrm{maxB}}_4-C}=5.01\&DoubleRightArrow;{\mathrm{CI}}_{B_4-C}=0.01/4=0.0025\&DoubleRightArrow;$

${\mathrm{CR}}_{B_4-C}={\mathrm{CI}}_{B_4-C}/RI=0.0025/1.12=0.0022<0.10\&DoubleRightArrow;$ Judgment matrix B ₄-C meets coherence request.

(5) judgment matrix B ₅the consistency check result of-C is as follows.

$B_5-C={\left(\begin{array}{ccccc}1/7& 1/7& 1/7& 1/7& 1/7\\ 6/35& 6/35& 6/35& 6/35& 6/35\\ 1/5& 1/5& 1/5& 1/5& 1/5\\ 8/35& 8/35& 8/35& 8/35& 8/35\\ 9/35& 9/35& 9/35& 9/35& 9/35\end{array}\right)}_{5\&times;5}\&DoubleRightArrow;S_{B_5-C}={\left(\begin{array}{c}0.14\\ 0.17\\ 0.20\\ 0.23\\ 0.26\end{array}\right)}_{5\&times;1}\&DoubleRightArrow;$

${\mathrm{\&lambda;}}_{{\mathrm{maxB}}_5-C}=5.001\&DoubleRightArrow;{\mathrm{CI}}_{B_5-C}=0.001/4=0.00025\&DoubleRightArrow;$

${\mathrm{CR}}_{B_5-C}={\mathrm{CI}}_{B_5-C}/RI=0.0025/1.12=0.00022<0.10\&DoubleRightArrow;$ Judgment matrix B ₅-C meets coherence request.

Step 6) total hierarchial sorting.

Utilize the result of above Mode of Level Simple Sequence, calculate the combining weights of every level factor, carry out total hierarchial sorting.Calculate the significance level weights of each factor of lowermost layer, sort from low to high according to each factor significance level, thus obtain evaluation object C1 ..., C5 health status situation.

The significance level of evaluation object C1=

0.05×0.07+0.15×0.10+0.20×0.12+0.25×0.13+0.35×0.14＝0.124

The significance level of evaluation object C2=

0.05×0.13+0.15×0.15+0.20×0.16+0.25×0.17+0.35×0.17＝0.163

The significance level of evaluation object C3=

0.05×0.20+0.15×0.20+0.20×0.20+0.25×0.20+0.35×0.20＝0.200

The significance level of evaluation object C4=

0.05×0.27+0.15×0.25+0.20×0.24+0.25×0.23+0.35×0.23＝0.237

The significance level of evaluation object C5=

0.05×0.33+0.15×0.30+0.20×0.28+0.25×0.27+0.35×0.26＝0.262

Step 7) according to the relatively top significance level value information of lowermost layer, obtain the health Evaluation result of 5 evaluation objects.

As can be seen from total ranking results: evaluation object C1 weights are minimum, health status belongs to normal category, and thus setting its weights is normal and slightly bad boundary; According to maximum weights principle, the health status of known evaluation object C5 is the worst, belongs to serious bad category, and thus setting its weights is slightly bad and seriously bad boundary; According to the principle of correspondence nearby, the health status of other evaluation objects can be determined, thus obtain the condition evaluation result of evaluation object.Evaluation object C1 ..., C5 health status reduce successively due to evaluation object C2 ..., C4 weights are between evaluation object C1 and C5, thus its health status is also between normal category and serious bad category, and evaluation object C2 ..., C4 health status undesirable level more and more serious; Evaluation object C4 weights are closer from evaluation object C5, and thus evaluation object C4, C5 belongs to serious bad category, need improve attention rate and seek medical advice in time; Evaluation object C2, C3 belong to slight bad category, pay particular attention to suitably conditioning to make health return to optimum condition, thus complete and screen the health status of 5 people's microcommunities in embodiment.If certain single evaluation object of the data in the present embodiment is in not human body physiological parameter information in the same time, by the present invention and in conjunction with real-time monitoring device can understand single evaluation object at not physical condition in the same time.The present invention according to example of calculation acquired results with above in consult by documents and materials the conclusion drawn consistent, thus demonstrate the validity of the human health status appraisal procedure based on step analysis.

The present invention incorporates the human body physiological parameter information such as the current heart rate for assessment of human health status, body temperature, blood oxygen saturation, blood pressure and blood sugar, effectively weakens based on the error caused by the single parameter assessment of tradition by the fusion of multi-source heterogeneous parameter; According to the human health status appraisal procedure based on step analysis, both can realize single individual consumer and understand physical condition in real time, and the healthy situation screening of large density with feature colony can be realized, avoid the undue dependence to large-scale long-range medical server or database simultaneously, human health status can be assessed more all sidedly, and appraisal procedure is simple and reliable, thus improve the applicability under the practicality of this health appraisal procedure, validity and particular surroundings.

Claims (3)

1., based on a human health status appraisal procedure for step analysis, it is characterized in that, comprise the steps:

(1) according to human body physiological parameter information architecture human health status assessment models, wherein, human body physiological parameter information comprises heart rate B1, body temperature B2, blood oxygen saturation B3, blood pressure B4, blood sugar B5; Described assessment models comprises top A, middle layer B and lowermost layer C, for large density with feature colony evaluation object C1 ..., Cm health status category filter; Or for single evaluation object Ci moment T1 ..., Tm physical condition real-time assessment, wherein top is the health status of evaluation object, is divided into normal category, slight bad category and serious bad category 3 grades, is also called destination layer; Middle layer is the human body physiological parameter determining evaluation object health status, is also called rule layer; The bottom is evaluation object, is also called object layer; Wherein m is the number of evaluation object, is a natural number;

(2) scale information is determined;

(3) judgment matrix is generated:

Relative to top A, B each factor relative importance in middle layer compares, and judgment matrix A-B is as follows:

Compare relative to each factor relative importance of middle layer B, lowermost layer C, judgment matrix B _k-C is as follows:

Wherein m is the number of evaluation object, k=1,2,3,4,5;

(4) test and judge matrix A-B, B _kthe consistance of-C, wherein, the computing formula of coincident indicator CI and random Consistency Ratio CR is respectively:

$\begin{array}{cc}CI=\frac{{\mathrm{\&lambda;}}_{max}-n}{n-1}& CR=\frac{CI}{RI}\end{array}$

In formula, λ _maxfor the maximal value of judgment matrix proper vector, n is the line number of judgment matrix, and RI is Aver-age Random Consistency Index; As CR<0.1, think that judgment matrix meets coherence request, enter next step; Otherwise just need to return step (3) and readjust judgment matrix until it meets coherence request;

(5) to judgment matrix A-B, B _k-C carries out Mode of Level Simple Sequence and total hierarchial sorting;

(6) according to the relatively top relative importance value information of lowermost layer, the health Evaluation result of m evaluation object is obtained.

2. as claimed in claim 1 based on the human health status appraisal procedure of step analysis, it is characterized in that, step (2) described scale information comprises of equal importance, important a little, important, extremely important, definitely important, its scale value represents by numeral 1,3,5,7,9 respectively, and represents with 2,4,6,8 the intermediate value that above-mentioned relative importance judges.

3., as claimed in claim 1 based on the human health status appraisal procedure of step analysis, it is characterized in that, number m≤20 of described evaluation object.