KR101274431B1 - Apparatus and method for determining health using survey information, apparatus and method for generating health sort function - Google Patents

Abstract

The present invention relates to an apparatus and method for determining a state of health using question information, the method comprising: receiving questionnaire information about a user's health and constitution information about the user's constitution, and calling a health classification function corresponding to the constitution information; And determining the health state of the user by using the questionnaire information and the called health classification function.

Description

Apparatus and method for determining health condition using survey information, apparatus and method for generating health classification function {APPARATUS AND METHOD FOR DETERMINING HEALTH USING SURVEY INFORMATION, APPARATUS AND METHOD FOR GENERATING HEALTH SORT FUNCTION}

The present invention relates to an apparatus and method for acquiring data quantified from questionnaire information and to determine a health state using the acquired data, and to an apparatus and method for generating a health classification function.

In modern society, interest in health is increasing day by day. Along with this era of interest, as technologies such as data analysis method and tool by real-time data collection are advanced, it becomes possible to monitor health condition and provide personalized health care service.

In addition, convenience and customization of health services and related systems are being strengthened due to diversification of customers 'demands and improvement of expectations according to changes in consumers' consciousness. Based on accumulated personal health data, prevention of lifestyle- Personalized health care projects such as weight management are rapidly growing.

If the past health care services were centered on healthcare, which is limited to the treatment of illnesses in hospitals and medical institutions, patients' health care needs in recent years have been limited to the prevention of disease And health maintenance.

In other words, as the level of living improves and the interest in quality of life and well-being / wellness grows, consumers are gradually increasing their preference for proactive health management such as health status measurement and proper exercise management.

An object of the present invention is to provide a health state determination apparatus and method for determining the health state of the user by using the user's personal information, constitution information and questionnaire information.

Another object of the present invention is to provide a health classification function generation device and method for generating a health classification function for each constitution based on the user's constitution information and using the correlation between the user's questionnaire information and the health condition. It is to.

In accordance with an aspect of the present invention, a method for determining a health state may include receiving questionnaire information input from a user and constitution information regarding the constitution of the user, calling a health classification function corresponding to the constitution information, and the questionnaire. And determining the health state of the user by using the information and the called health classification function, wherein the questionnaire information includes at least one questionnaire item and may be digitized by the at least one questionnaire item. .

In the health classification function generation method according to an embodiment of the present invention, in the health classification function generation method for generating a health classification function for determining a health state of a user, a plurality of reference questionnaire information including a plurality of questionnaire information are inputted. Receiving a plurality of clinical data corresponding to each of the plurality of reference questionnaire information, classifying the plurality of reference questionnaire information and the plurality of clinical data by constitution, reference questionnaire information classified by the constitution, and clinical Calculating a correlation between the plurality of questionnaire information and the health state by the constitution using data and a classification model, the reference questionnaire information classified by the constitution and the clinical data and the plurality of questionnaires using the classification model At least one key questionnaire information from the information And generating the health classification function for each constitution by using the at least one main questionnaire information and the calculated correlation.

An apparatus for determining a health state according to an embodiment of the present invention may include an input unit configured to receive questionnaire information about a user's health and constitution information about the user's constitution, a processing unit which calls a health classification function corresponding to the constitution information, and the It may include a determination unit for determining the health state of the user by using the questionnaire information and the called health classification function.

In an apparatus for generating a health classification function, the apparatus for generating a health classification function for determining a health state of a user may include inputting a plurality of reference questionnaire information including a plurality of questionnaire information. An input unit for receiving a plurality of clinical data corresponding to each of the plurality of reference questionnaire information, a processing unit for classifying the plurality of reference questionnaire information and the plurality of clinical data by constitution, reference questionnaire information classified by the constitution, and clinical An operation unit that calculates a correlation between the plurality of questionnaire information and the health state by the constitution using data and a classification model, reference questionnaire information classified by the constitution and clinical data and the plurality of questionnaires using the classification model Recall at least one key questionnaire information from the information It can include extractor for extracting each quality, and the at least one of the main information and the questionnaire using the calculated correlation, a generator which generates by the constitution of the Healthy classification function.

The state of health determination apparatus and method provided by the present invention can easily measure the state of health of the user using personal information, constitution information, and questionnaire information of the user, thereby enabling proactive health management.

In addition, the apparatus and method for generating a health classification function provided by the present invention may generate a health classification function with high accuracy by using user's personal information, constitution information and questionnaire information.

1 is a view showing the overall algorithm of the health state determination method for determining the health state of the user according to an embodiment of the present invention.
2 is a block diagram illustrating a configuration of an apparatus for determining a health state according to an embodiment of the present invention.
3 and 4 are views for explaining an embodiment for deriving health level related questionnaire information according to an embodiment of the present invention.
5 is a block diagram illustrating a configuration of an apparatus for generating a health classification function according to an embodiment of the present invention.
6 is a flowchart illustrating a health state determination method according to an embodiment of the present invention.
FIG. 7 is a diagram illustrating a flow of outputting a health level by providing different questionnaire information for each constitution to a user (subject) whose constitution is determined.
8 is a flowchart illustrating a method of generating a health classification function according to an embodiment of the present invention.

Hereinafter, embodiments according to the present invention will be described in detail with reference to the accompanying drawings. However, the present invention is not limited to or limited by the embodiments. Like reference symbols in the drawings denote like elements.

1 is a view showing the overall algorithm of the health state determination method for determining the health state of the user according to an embodiment of the present invention.

Referring to FIG. 1, the method for determining a health state according to an embodiment of the present invention may include physical quantity information 100, personal information 110, and constitution information 120 of a user in order to determine a health state of a user. You can receive input.

The personal information 110 may include information about the user's personal information such as age, gender, height, weight, BMI (body mass index), occupation, and education level of the user.

The physical quantity information 100 for the user is a variable for determining the user's health and indicates a measured value for the physical element of the user. For example, the physical quantity information 100 for the user may include voice information 101 associated with the user's voice, pulse wave information 102 associated with the user's pulse wave, and skin characteristics 103 associated with the color of the user's face. ), Skin information 104 associated with the user's skin and questionnaire information 105 for a questionnaire completed by the user in relation to health. The plurality of physical quantity information 100 for the user may be input to the health classification function 130 as a variable of the health classification function 130 for determining the health of the user.

The health classification function 130 is a function for determining the user's health, and receives the physical quantity information 100, the personal information 110, and the constitution information 120 of the user to calculate information on the health state of the user. It can be a function. Health classification function 130 may be generated using a plurality of clinical data. For example, the health state determination method may input a plurality of clinical data into a classification model to calculate a function, and the calculated function may be used as the health classification function 130. The classification model may be linear discriminant analysis (LDA), logistic regression analysis, or the like.

According to an embodiment, the health classification function 130 may be implemented separately for each user's constitution. That is, the health classification function for the Taeumin 121, the health classification function for the Soin person 122, the health classification function for the Soyangin 123, and the health classification function for the sun person 124 may be implemented separately. In this case, the health state determination method may receive a user's constitution information 120, select a health classification function according to the user's constitution, and determine the user's health state 140 using the selected health classification function. have.

The health state determination method according to an embodiment may classify the health state 140 of the user into health 141, anti-health 142, and disease 143 based on the received information.

As described above, the health state determination method may determine the health state 140 of the user based on the plurality of physical quantity information 100 for the user, and in this specification, among the plurality of physical quantity information 100, in particular, questionnaire information. It proposes a new device and method for determining the health state of a user using.

2 is a block diagram illustrating a configuration of an apparatus for determining a health state according to an embodiment of the present invention. The health state determining apparatus 230 illustrated in FIG. 2 uses the questionnaire information 200 to determine the health state of the user.

The questionnaire information may include a digestion-related questionnaire result 201, a sweat-related questionnaire result 202, a stool-related questionnaire result 203, and a heat-related questionnaire result 204.

In addition, the survey information, meal-related questionnaire, sweating-related questionnaire, eye-related questionnaire, sperm-related questionnaire, edema-related questionnaire, negative questionnaire, heat-related questionnaire, abdominal pain-related questionnaire, stool-related questionnaire It may include data (question results) quantified from at least one questionnaire item among the item, sigh-related questionnaire item, forgetfulness-related questionnaire item, attestation-related questionnaire item, and palliative symptoms questionnaire item.

The questionnaire information according to an embodiment of the present invention may include an important questionnaire for each constitution based on a survey of the importance of health evaluation indicators for each Sasang constitution for a Sasang Constitutional Expert.

In addition, according to an embodiment of the present invention, a questionnaire that has a significant correlation with a quality of life evaluation tool such as Todai index and SF-36 may be selected from the existing commercialization questionnaire to determine the questionnaire information.

Referring to FIG. 2, the apparatus for determining a health condition 230 according to an embodiment of the present invention includes an input unit 231, a processor 232, and a determiner 233.

The questionnaire information 200 may include a digestion-related questionnaire result 201, a sweat-related questionnaire result 202, a stool-related questionnaire result 203, and a heat-related questionnaire result 204.

The personal information 210 may include information about the user's personal information such as the user's age, gender, height, weight, BMI (body mass index), occupation, and education level.

The constitution information 220 may include the Taeinin 221, the Soinin 222, the Soyangin 223, and the Sunin 224.

The input unit 231 receives the questionnaire information 200 related to health, the personal information 210 of the user's personal information, and the physical information 220 of the user's constitution.

The processor 232 is configured to generate and call a health classification function.

The processor 232 calls a health classification function corresponding to the constitution information 220 input to the input unit 231. In order to call the health classification function, the processing unit 232 first generates a health classification function for each constitution corresponding to the constitution information 220, and the health corresponding to the constitution information 220 input among the health classification functions generated for each constitution. Call the classification function.

The determination unit 233 determines the health state of the user by using the health classification function called through the processing unit 232.

In detail, the determination unit 233 calculates a score for the health state 230 of the user by inputting the questionnaire information 200, the personal information 210, and the constitution information 220 to the called health classification function. The health state 230 of the user is determined as one of the health 231, the anti-health 232, and the disease 233 by comparing the score with the reference value associated with the health state 230.

3 and 4 are views for explaining an embodiment for deriving health level related questionnaire information according to an embodiment of the present invention.

Changes in the body that occur when the health is good and when the health is poor according to the user's constitution may be different. These changes in the user's body for each constitution may be obtained through a sample of the selected group.

For example, in the case of the Taeumin, if the stool is not seen, the change of the abdomen may occur more easily than other constitutions, and in the case of problems with urine function, the change of the body may occur due to urine pain and urine remnant feeling. have.

In addition, in the case of Taeinin can feel more sensitive to heat than other constitutions.

Therefore, in the case of the Taeumin, the questionnaire about sensitive parts such as abdominal bloating, urinary pain, and urine residual urine should be more important than other questionnaires.

In the case of a noisy person, when an abnormality in digestion-related functions occurs, changes in the body, such as decreased digestive taste, pretends, vomiting, or coughing, may occur. In addition, when the noise level is related to digestion, people may feel nausea or flatulence more easily than other constitutions.

In the case of a noisy person, the questionnaire about changes in digestive taste, body / soil, or cough should be considered more important than other questionnaires.

In addition, because the Soyangin is sensitive to the amount of food, digestion, stool habits, heat sensitivity, etc. Soyangne should be given more weight to the questionnaire.

Referring to FIG. 3, through the matrix of the items to which the question items belong and the respective Sasang Constitutions, it indicates which score (importance) a particular question has in a particular Sasang Constitution.

For example, in the case of Taeumin, 19.25% of stool-related questionnaires are shown as the most important items of Taeumin-in, followed by digestion-related questionnaire and sweating-related questionnaire 17%.

In case of noisy person, the questionnaire related to fire extinguishing is identified as the most important item, followed by the feces related item as important item.

In the case of Soyangin, fecal related items are identified as the most important items, and digestion related items are identified as the next most important items.

As a result, a questionnaire item to be checked when important in each Sasang constitution may be determined.

4 is an embodiment of selecting questionnaires in a first and a second order from among questionnaire information.

Among the survey information, the Sasang Constitutional Expert may investigate the importance of the health evaluation index for each Sasang constitution and select an important question item for each constitution as shown by reference numeral 410.

That is, Taeumin has the most weight with 2 questionnaires related to sweating, Soilin has the most weight with 4 questionnaires related to eating, and Soyangin has the most weight with 4 questions. Can be.

In addition, as shown at 420, a questionnaire having a significant correlation with a quality of life evaluation tool such as Todai index and SF-36 may be selected from the existing commercialization questionnaire to determine the questionnaire information.

The question items decided or selected as thought by each constitution are the main question information and can be extracted according to the constitution.

The extracted main questionnaire information may be used to extract each main variable of the health classification function in consideration of the correlation.

Each of the main variables of the health classification constant is different for each Sasang constitution, and can be interpreted as a result reflecting a questionnaire considered important in Sasang Constitution.

5 is a block diagram illustrating a configuration of an apparatus for generating a health classification function according to an embodiment of the present invention. The health classification function is for determining the health state of the user and may be generated for each constitution by the health classification function generating device 500.

Referring to FIG. 5, an apparatus 500 for generating a health classification function according to an embodiment of the present invention may include an input unit 510, a processor 520, an operator 530, an extractor 540, and a generator 550. Include.

The input unit 510 receives a plurality of reference question information 1 (501) to reference question information N (502) including a plurality of questionnaire information, and receives clinical information corresponding to each of the reference question information 1 (501) to reference question information (N). Data 1 (503) to clinical data N (504) are received.

Reference questionnaire information 1 (501) to reference questionnaire information N and clinical data 1 (503) to clinical data N may be information obtained from N clinical trial subjects.

That is, the reference survey information 1 501 to the reference survey information N include a plurality of questionnaire information for collecting opinions of N subjects, and may be used to generate a health classification function.

In addition, the clinical data 1 to clinical data N may include at least one of constitution information, personal information and health state information about the constitution of N subjects. Therefore, it is possible to determine the health state according to the questionnaire information using the reference questionnaire information 1 501 to the reference questionnaire information N and the clinical data 1 503 to the clinical data N.

The processor 520 classifies the reference questionnaire information 1 501 to the reference questionnaire information N and the clinical data 1 503 to the clinical data N by constitution.

The calculation unit 530 calculates a correlation between the plurality of questionnaire information and the health state by using the reference questionnaire information 1 (501) to the reference questionnaire N and the clinical data 1 (503) to the clinical data N and the classification model classified by constitution. Calculate by the constitution.

The extractor 540 uses at least one main questionnaire information from the plurality of questionnaire information using the reference questionnaire information 1 501 to the reference questionnaire N and the clinical data 1 503 to the clinical data N and the classification model classified by constitution. Extract by sieving.

The generation unit 550 generates a health classification function for each constitution by using at least one main questionnaire information and a calculated correlation. The generation unit 550 may generate a health classification function expressed by Equation 6 below.

In Equation 1, p is a probability (or a scale indicating a health level) for distinguishing health / semi-health / disease, xi is numerical data obtained as i-th questionnaire information, and Bi is a coefficient indicating correlation information of the i-th questionnaire information. , yj represents the j-th correction variable (for example, user's personal information), and Cj represents the coefficient of the j-th correction variable.

At least one main questionnaire information may be extracted for each constitution from the plurality of questionnaire information using the reference questionnaire information and clinical data classified by the constitutions and the classification model.

Thus, the health classification function may be generated for each constitution using the at least one main questionnaire information and the calculated correlation.

Health index for each Sasang constitution can be calculated as shown in [Equation 2].

가 사상체질 별로 달라지면서 사상체질 별로 다른 건강 지수가 결정될 수 있다.At this time,

As health changes by Sasang constitution, different health indices can be determined by Sasang Constitution.

&Quot; (2) "

는 상수값,

는 상관 관계에 대한 정보,

는 설문 정보로부터 획득 가능한 수치 데이터로 해석될 수 있다.

Is a constant value,

Is information about the correlation,

May be interpreted as numerical data obtainable from the survey information.

는 사용자가 설문 정보에 어떻게 답하느냐에 따라서 달라지느 값이고,

는 해당 설문의 중요도를 고려한 값으로 해석될 수 있다.In other words,

Is a value that depends on how the user responds to the survey information.

May be interpreted as a value considering the importance of the questionnaire.

Here, P may mean the probability of being half health.

은 i번째 보정변수로서, 예를 들어 성별이 남자면 '0'로, 여자면 '1'로 설정될 수도 있다. 이때,

은 m번째 보정변수의 상관관계로 해석될 수 있다.According to another embodiment of the present invention,

May be set as the i th correction variable, for example, '0' if the gender is male and '1' if the female is male. At this time,

Can be interpreted as the correlation of the m th correction variable.

6 is a flowchart illustrating a health state determination method according to an embodiment of the present invention.

As shown in FIG. 6, the method for determining a health state according to an embodiment of the present invention may receive user questionnaire information and constitution information on the user's constitution (step 610).

Next, the health state determination method according to an embodiment of the present invention calls a health classification function corresponding to the constitution information (step 620), by using the questionnaire information and the called health classification function, The state of health may be determined (step 630).

FIG. 7 is a diagram illustrating a flow of outputting a health level by providing different questionnaire information for each constitution to a user (subject) whose constitution is determined.

The user whose body size is determined may answer the questionnaire through the CRF response data or the SF-36 response data, and the generated questionnaire data may be stored in the data server 702.

Since the user has already determined the constitution, the data server 702 may calculate a sample of the health state for each constitution of the user.

Accordingly, the data server 702 may derive a questionnaire to be written in order to confirm the health level for each salivary constitution by using a Chi-Square Test (703).

That is, the data server 702 updates the main questionnaire items of each of the previously determined event constitutions through the CRF response data or SF-36 response data inputted from the user whose constitution is determined, thereby performing the test using the chi-square distribution. Can be done.

In other words, the data server 702 may calculate the main questionnaire information for each constitution with high confidence by comparing the theoretical and actual values of the main questionnaire items for each constitution.

Accordingly, the user may respond to the questionnaire that matches his or her constitution in response to the derived questionnaire (704).

Next, the numerical data generated according to the response content of the user may be assessed by the health level through the health status determination apparatus and method according to an embodiment of the present invention.

In addition, the evaluated health level is output through the display means so that the user can check it.

8 is a flowchart illustrating a method of generating a health classification function according to an embodiment of the present invention.

Referring to FIG. 8, in the method for generating a health classification function according to an embodiment of the present invention, a plurality of questionnaire information is received and a plurality of clinical data corresponding to each of the plurality of reference questionnaire information are received (step 810). .

The method for generating a health classification function classifies the plurality of reference questionnaire information and the plurality of clinical data by constitution (step 820).

In the method of generating a health classification function, a correlation between a plurality of questionnaire information and a state of health is calculated for each constitution by using reference questionnaire information classified by constitution and clinical data and a classification model (step 830).

The health classification function generating method extracts at least one main questionnaire information from each of the plurality of questionnaires by constitution using reference questionnaire information classified by constitutions, clinical data, and a classification model (step 840).

The method for generating a health classification function generates a health classification function for each constitution using at least one main questionnaire information and the calculated correlation (step 850).

As a result, the health state determining apparatus and method provided by the present invention can easily measure the health state of the user by using the user's personal information, constitution information and questionnaire information, thereby enabling proactive health management.

In addition, the apparatus and method for generating a health classification function provided by the present invention may generate a health classification function with high accuracy by using user's personal information, constitution information and questionnaire information.

Embodiments according to the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be those specially designed and constructed for the present invention or may be available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as a hard disk, a floppy disk, and a magnetic tape; optical media such as CD-ROM and DVD; magnetic recording media such as a floppy disk; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

As described above, the present invention has been described by way of limited embodiments and drawings, but the present invention is not limited to the above embodiments, and those skilled in the art to which the present invention pertains various modifications and variations from such descriptions. This is possible.

Therefore, the scope of the present invention should not be limited to the described embodiments, but should be determined by the equivalents of the claims, as well as the claims.

200: Survey information 201: Digestion related survey results
202: Sweat-related questionnaire 203: Stool-related questionnaire
204: Results of the thermal crisis 210: Personal information
220: constitution information 221: Taeum
222: noise 223: literacy
224: Sun 230: Health Status Judgment Device
231: input unit 232: processing unit
233: Judgment unit 240: health state information
241: Health 242: Semi-Health
243: disease

Claims (11)

Receiving input of questionnaire information input from a user and constitution information of the user's constitution in an input unit of a health state determination device;
Receiving, by the input unit of the apparatus for generating a health classification function, a plurality of reference questionnaire information including a plurality of questionnaire information and a plurality of clinical data corresponding to each of the plurality of reference questionnaire information;
Classifying the plurality of reference questionnaire information and the plurality of clinical data by constitution in the processor of the apparatus for generating a health classification function;
Calculating, by the constitution, the correlation between the plurality of questionnaire information and the health state by the constitution by using reference questionnaire information classified by the constitution and clinical data and a classification model;
Extracting, by the extracting unit of the apparatus for generating a health classification function, at least one main questionnaire information from the plurality of questionnaire information by the constitution using the reference questionnaire information and the clinical data classified by the constitution and the classification model;
Generating, by the generating unit of the apparatus for generating a health classification function, the health classification function for each constitution by using the at least one main questionnaire information and the calculated correlation;
Calling, by the caller of the health state determining device, a health classification function corresponding to the constitution information among the health classification functions generated for each constitution; And
Determining, by the determination unit of the health state determining device, the health state of the user by using the questionnaire information and the called health classification function;
Lt; / RTI >
The questionnaire information includes at least one questionnaire item, and is quantified by the at least one questionnaire item. delete delete The method of claim 1,
The survey information,
Food-related survey items, sweat-related questionnaire items, eye-related questionnaire items, worm-related questionnaire items, edema-related questionnaire items, negative-related questionnaire items, heat-related questionnaire items, abdominal pain-related questionnaire items, fecal-related questionnaire items, sigh-related questionnaire items, Including data quantified from at least one questionnaire item, a questionnaire-related questionnaire item, a testimony-related questionnaire item, and a pneumoconiosis questionnaire item,
The determining of the state of health
Calculating the score for the health state of the user by inputting the quantified data into the called health classification function,
And determining the health state of the user by comparing the score with the reference value associated with the health state. The method of claim 1,
Receiving, by the input unit of the health classification function generation device, personal information about the user's personal information;
Further comprising:
The determining of the state of health
And determining the health state of the user by inputting the questionnaire information and the personal information into the called health classification function. In the health classification function generation method for generating a health classification function for determining the health status of the user,
Receiving, by the input unit, a plurality of reference questionnaire information including a plurality of questionnaire information and a plurality of clinical data corresponding to each of the plurality of reference questionnaire information;
In the processing unit, classifying the plurality of reference questionnaire information and the plurality of clinical data by constitution;
Calculating a correlation between the plurality of questionnaire information and the health state by the constitution by using the reference questionnaire information classified by the constitution and clinical data and a classification model;
Extracting, by the extractor, at least one main questionnaire information from the plurality of questionnaire information by the constitution using the reference questionnaire information and clinical data classified by the constitution and the classification model; And
In the generating unit, using the at least one main questionnaire information and the calculated correlation, generating the health classification function for each constitution
Health classification function generation method comprising a. The method according to claim 6,
The classification model is
A health classification function generation method comprising at least one of logistic regression analysis and linear discriminant analysis. The method according to claim 6,
The clinical data is
And at least one of constitution information on the constitution of a clinical trial subject, personal information on the personal information of the subject, and health state information on the health status of the subject. A computer-readable recording medium having recorded thereon a program for executing the method of claim 1. An input unit configured to receive questionnaire information about a user's health and constitution information about the user's constitution;
Receive a plurality of reference questionnaire information including a plurality of questionnaire information, receive a plurality of clinical data corresponding to each of the plurality of reference questionnaire information, and classify the plurality of reference questionnaire information and the plurality of clinical data by constitution. The correlation between the plurality of questionnaire information and the health state is calculated for each of the constitutions by using the reference questionnaire information and clinical data classified by the constitutions and the classification model, and the reference questionnaire information and the clinical data classified by the constitutions. And extracting at least one main questionnaire information from each of the plurality of questionnaire information by the constitution using the classification model, and using the at least one main questionnaire information and the calculated correlation, converting the health classification function to the constitution. Health classification function generating device for generating a star;
A processor for calling a health classification function corresponding to the constitution information among the health classification functions generated for each constitution; And
Determination unit for determining the health state of the user by using the questionnaire information and the called health classification function
Medical condition determination device comprising a. delete

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