JP7197407B2 - Judgment system and judgment program - Google Patents

Description

The present invention relates to a judgment system and a judgment program.

In general, childhood is a time of many changes, and if developmental problems such as growth disorders and obesity are not discovered late, the symptoms may rapidly worsen or spread to other problems. had been In particular, the role of educational institutions that watch over children on a daily basis is important. For example, in order to manage the development of children, elementary school health examinations were conducted and physical conditions of children were measured regularly.

Therefore, as a device for managing the state of development of children in educational institutions, a school management device (for example, see Patent Document 1) has been proposed that records and utilizes information about the growth of children. Educational institutions have used devices such as this school management device to record information about the development of children, and to judge the developmental state of children based on the recorded information.

JP-A-6-83843

However, regarding the judgment of the developmental status of children carried out by educational institutions, a specialist (for example, a school doctor) visually confirms the information on each child recorded in the school management device, and examines the child's own experience. Because it was done based on the rules, it took a relatively long time (for example, about 1 and a half to 2 minutes per person), and there was room for the subjective judgment of the specialist to enter into the judgment. There was a possibility of lacking the objectivity of

SUMMARY OF THE INVENTION The present invention has been made in view of the above problem, and an object of the present invention is to provide a judgment system and a judgment program capable of quickly and objectively judging the condition of a subject.

In order to solve the above-described problems and achieve the object, the determination system according to claim 1 is a determination system for determining a subject's condition, wherein the subject's first physical information is specified over time. and second physical information for specifying over time second physical information of a plurality of other subjects different from the subject, based on the subject's state Based on the generation means for generating determination information for determining the first body specific information acquired by the acquisition means and the determination information generated by the generation means, the state of the subject is determined determining means for determining , wherein the generating means determines the second physical information specified by the second physical specifying information based on the characteristics of the second physical information specified by the second physical specifying information; , classifying each of the other plurality of subjects into a plurality of categories, and generating determination statistical physical identification information based on the second body information belonging to each of the plurality of classified categories as the determination information; , the generation means generates the change state over time of the second physical information specified by the second physical identification information for each of the other plurality of subjects, or the above for each of the other plurality of subjects the second physical information specified by the second physical information for each of the other plurality of subjects based on the time element of the feature point of the second physical information specified by the second physical information; The first physical information is the growth speed of the subject, and the second physical information is the growth speed of the other subjects.

Further, the determination system according to claim 2 is the determination system according to claim 1, wherein the generating means generates the second body specific information for each of the other plurality of subjects based on a predetermined criterion. relativizing the second physical information specified by each other, and characterized by the change state of the relativized second physical information over time, the second physical specifying information for each of the other plurality of subjects, The specified second physical information is classified into the plurality of categories.

Further, the determination system according to claim 3 is the determination system according to claim 1 or 2 , wherein the determination means obtains from the plurality of statistical body identification information for determination corresponding to the plurality of categories, the acquisition means selects one of the statistical body-specific information for determination corresponding to the first body-specific information acquired by and determines the condition of the subject based on the selected one of the statistical body-specific information for determination.

Further, the determination system according to claim 4 is the determination system according to any one of claims 1 to 3 , wherein the determination means determines whether the subject has early onset or not. determined as the state of

The determination system according to claim 5 is the determination system according to any one of claims 1 to 4 , further comprising storage means for storing height information indicating the height of each of the other plurality of subjects. The generation means generates the second body identification information based on the height information stored in the storage means, and generates the determination information based on the generated second body identification information. Generate.

Further, the determination program according to claim 6 is a determination program for determining a condition of a subject, and causes a computer to obtain first physical identification information for temporally identifying the first physical information of the subject. Determination information for determining the state of the subject based on the acquisition means and the second body identification information that temporally identifies the second body information of a plurality of other subjects different from the subject. function as generation means for generating, determination means for determining the state of the subject based on the first body identification information acquired by the acquisition means, and the determination information generated by the generation means; , the generating means generates the second physical information specified by the second physical information for each of the other plurality of subjects based on the characteristics of the second physical information specified by the second physical information; classified into a plurality of categories in units of and generates as the determination information statistical statistical body identification information for determination based on the second body information belonging to each of the plurality of classified categories, and the generating means includes the other The state of change over time of the second physical information specified by the second physical identification information for each of the plurality of subjects, or the said second physical information specified by the second physical identification information for each of the other plurality of subjects classifying the second physical information specified by the second physical identification information for each of the plurality of other subjects into the plurality of categories based on the time element of the characteristic point of the second physical information; The first physical information is the growth speed of the subject, and the second physical information is the growth speed of the plurality of other subjects.

According to the determination system according to claim 1 and the determination program according to claim 6 , based on the obtained first body identification information and the generated determination information, by determining the state of the subject For example, it is possible to quickly and objectively determine the subject's condition. In particular, for example, it is possible to make an appropriate determination in consideration of individual differences in the subject's growth process.
In addition, for example, since the characteristics of the second physical information can be reflected in the statistical physical identification information for determination, it is possible to improve the accuracy of determination of the condition of the subject.
In addition, for example, since the state of change over time of the second physical information can be reflected in the statistical body identification information for determination, it is possible to improve the accuracy of determination of the subject's state.
Further, for example, since the time element of the characteristic point of the second physical information can be reflected in the statistical body identification information for determination, it is possible to improve the accuracy of determination of the condition of the subject.
Also, for example, it is possible to determine the subject's condition based on the growth rate.

According to the determination system of claim 2, for example, the classification accuracy of the second physical information can be improved, so it is possible to improve the determination accuracy of the subject's condition.

According to the determination system of claim 3, one piece of statistical body-specific information for determination corresponding to the acquired first body-specific information is selected from a plurality of statistical body-specific information for determination corresponding to a plurality of categories, By judging the condition of the subject based on the selected piece of statistical body-specific information for judgment, for example, the condition of the subject can be judged by relatively simple processing, so that the judgment can be made quickly. It becomes possible.

According to the determination system of claim 4, by determining whether or not the subject has early onset as the condition of the subject, for example, the determination of whether the subject has early onset can be made quickly and objectively. It becomes possible to go to

1 is a block diagram of a determination device according to an embodiment; FIG. 4 is a flowchart of determination processing; FIG. 10 is a flowchart of judgment growth rate curve generation processing; FIG. It is the figure which illustrated the reference|standard growth rate curve for one person. It is the figure which illustrated the reference|standard growth rate curve for several people. FIG. 4 is an explanatory diagram of a method for classifying standard growth rate curves; FIG. 10 is a diagram showing first to fourth clusters; It is the figure which illustrated the growth rate curve for judgment. It is the figure which illustrated subject person's growth speed information.

BEST MODE FOR CARRYING OUT THE INVENTION An embodiment of a determination system and a determination program according to the present invention will be described below in detail with reference to the drawings. In addition, this invention is not limited by this embodiment.

[Basic concept of the embodiment]
First, the basic concept of the embodiment will be explained. Embodiments generally relate to determination systems and determination programs.

Here, the "determination system" is a system that determines the subject's condition, for example, a system that determines the subject's developmental state, and for example, whether or not it is precocious puberty, and other It is a system that determines whether it is an arbitrary symptom of Note that “whether or not the patient has precocious puberty” is a concept that includes, for example, whether or not there is a possibility that puberty will start earlier than expected. A "determination system" includes, for example, acquisition means, generation means, and determination means. This determination system is a concept that includes, for example, a general-purpose system in which each of the above-described means is installed by installing a determination program, or a system configured as a dedicated system provided with each means.

In addition, the "subject" is a person to be judged, specifically, a person to be judged using the judgment system, for example, children, adults, elderly people, men, women, etc. It is a concept. "Subject's condition" is the condition of the subject to be judged, specifically, the condition of the subject to be judged using the judgment system, for example, growth condition, health condition, learning It is a concept that includes the state of ability, the state of aging, the state of cognitive ability, and the like, and one example is the concept that includes whether or not the person has precocious puberty as described above.

Also, the “acquisition means” is means for acquiring the first physical identification information that identifies the first physical information of the subject over time. The “first physical information” is information relating to the physical condition of the subject, and is a concept including, for example, the growth rate. “Growth speed” is a concept that includes, for example, the amount of change (increase) in height per unit period (for example, one year). The “first physical identification information” is information that identifies the first physical information that changes over time, and is a concept that includes, for example, multiple growth rates of the subject. The "first physical identification information" is, for example, the growth rate between the 1st and 2nd grades of elementary school, the growth rate between the 2nd and 3rd grades of elementary school, the growth rate between 2nd and 3rd grades of elementary school, This is a concept that includes information that specifies the growth rate between grades 1 through 4, the growth rate among grades 4 and 5 of elementary school, and so on.

In addition, the "generating means" is a determination for determining the state of the subject based on the second body identification information that temporally identifies the second body information of a plurality of other subjects different from the subject. It is a means for generating information for use. Further, the “generating means” means, for example, based on the characteristics of the second physical information specified by the second physical identification information, classifying the second physical information of the second physical identification information into a plurality of categories, This is a concept including means for generating, as information for determination, statistical body identification information for determination based on the second physical information belonging to each of the categories. Further, the "generating means" is a concept including, for example, at least means for classifying the second physical information into a plurality of categories based on changes in the second physical information over time. Further, the 'generating means' means, for example, relativizing the second physical information specified by the second physical information based on a predetermined standard, and obtaining a change state of the relativized second physical information over time. is a concept including means for classifying the second physical information into a plurality of categories. Further, the 'generating means' is a concept including, for example, means for classifying the second physical information into a plurality of categories by using at least the time element of the feature point of the second physical information as a feature.

In addition, "a plurality of other subjects" refers to persons who are different from the above-mentioned subjects and who are not subject to judgment. For example, it is a concept that includes children, adults, elderly people, men, and women.

“Second physical information” is information regarding the physical condition of a plurality of other subjects, and is a concept including, for example, growth rate. "Second physical identification information" is information that identifies second physical information that changes over time, and is a concept that includes, for example, multiple growth rates of multiple other subjects.

In addition, the "second body identification information" is, for example, the annual growth rate of each of the other subjects when the determination system is used to determine an elementary school child, and the above-mentioned first This is a concept including information specifying the growth rate up to a period later than the growth rate specified by the body specifying information. More specifically, the "second physical identification information" includes, for example, at least information that identifies the growth rate up to a period after the period in which the growth rate of each of the other subjects peaks (maximum). As an example, in addition to the growth speeds exemplified in the first physical identification information described above, the growth speeds of 5th grade to 6th grade elementary school, 6th grade to 1st grade of junior high school, 1st grade of junior high school to 2nd grade of junior high school Growth rate of first graders, growth rate of second year to third year of junior high school, growth rate of third year of junior high school to first year of high school, growth rate of first year of high school to second year of high school, growth rate of second year to third year of high school, etc. It is a concept that also includes

Further, "determination information" is information used to determine the subject's condition, specifically, information based on the second physical condition specified by the second physical identification information. This is a concept that includes judgment-use statistical body-specific information and the like. "Statistical physical identification information for judgment" is information based on the second physical information belonging to each of a plurality of classified categories. value, etc.).

Further, the "determining means" is means for determining the state of the subject based on the first body-specific information acquired by the acquiring means and the determination information generated by the generating means. selecting one statistical body-specific information for determination corresponding to the first body-specific information acquired by the acquisition means from a plurality of statistical body-specific information for determination corresponding to the selected statistical body-specific information for determination, based on the selected statistical body-specific information for determination; It is a concept that includes means for determining the condition of a subject, and means for determining whether or not the subject has precocious puberty as the condition of the subject. In the following description, "precocious puberty" is appropriately referred to as "precocious onset".

In the embodiments described below, a case will be described in which a determination system is used to determine whether or not an elementary school student, who is a subject, has premature onset.

[Specific contents of the embodiment]
Next, specific contents of the embodiment will be described.

(composition)
First, the configuration of the determination device according to this embodiment will be described. FIG. 1 is a block diagram of a determination device according to this embodiment.

The determination device 100 shown in FIG. 1 is a determination system, and specifically, it determines whether or not an elementary school student who is a subject has premature onset. A unit 13 , a recording unit 14 , and a control unit 15 are provided.

(Configuration - communication unit)
The communication unit 11 is communication means for communicating with other devices via a network. Although the specific type and configuration of this communication unit 11 are arbitrary, for example, it can be configured by including a known communication circuit or the like.

(Configuration - operation unit)
The operation unit 12 is a reception unit that receives various operation inputs from the user through operations by the user. Although the specific type and configuration of this operation unit 12 are arbitrary, for example, it can be configured to include a known input device such as a mouse or keyboard.

(Configuration - display unit)
The display unit 13 is display means for displaying various information under the control of the control unit 15 . Although the specific type and configuration of the display unit 13 are arbitrary, for example, the display unit 13 can be configured by including a flat panel display such as a known liquid crystal display or organic EL display.

(Configuration - recording unit)
The recording unit 14 is recording means for recording programs and various data necessary for the operation of the determination device 100, and is configured using, for example, a hard disk (not shown) as an external recording device. However, instead of or together with hard disks, magnetic recording media such as magnetic disks, optical recording media such as DVDs and Blu-ray discs, or electrical recording media such as Flash, ROM, USB memory, SD cards, etc. any recording medium can be used.

The recording unit 14 also includes, for example, a reference height information database 141 (hereinafter the database will be referred to as "DB").

(Configuration-Recording Unit-Reference Height Information DB)
The reference height information DB 141 is reference height information storage means for storing reference height information. Here, the "reference height information" is information on which the above-mentioned second body identification information is based, and is, for example, information that identifies the heights of a plurality of people for each year in the past. Here, for example, information that specifies the height of 600 boys for each year from the first grade of elementary school (that is, when they are 7 years old) to the time when they are in the third grade of high school (that is, when they are 18 years old), and information that specifies the height of 600 girls A description will be given by exemplifying a case where information specifying the height of the same period as that of a male is recorded as the reference height information. A specific method for storing this reference height information is arbitrary. It may be stored by communicating with another device.

(Configuration - control unit)
The control unit 15 in FIG. 1 is control means for controlling the determination device 100, and specifically includes a CPU, various programs interpreted and executed on the CPU (a basic control program such as an OS, and a and an internal memory such as a RAM for storing programs and various data. In particular, the determination program according to the embodiment substantially configures each part of the determination device 100 by being installed in the determination device 100 via an arbitrary recording medium or network.

The control unit 15 functionally conceptually includes an acquisition unit 151 , a generation unit 152 , and a determination unit 153 . The acquisition unit 151 is acquisition means for acquiring first physical identification information that temporally identifies the first physical information of the subject. The generation unit 152 generates determination information for determining the state of the subject based on the second body identification information that temporally identifies the second body information of a plurality of subjects different from the subject. It is a generation means to do. The determination unit 153 is determination means for determining the subject's condition based on the first body identification information acquired by the acquisition unit 151 and the determination information generated by the generation unit 152 . Processing performed by each section of the control section 15 will be described later.

(process)
Next, the determination process executed by the determination device 100 configured as described above will be described. FIG. 2 is a flowchart of determination processing (steps are abbreviated as "S" in the following description of each processing). The “determination process” is, for example, a determination as to whether or not the target elementary school student has premature onset. The timing of executing this "determination process" is arbitrary, but for example, after the user inputs target person height information specifying the height of the target person via the communication unit 11 or the operation unit 12, the determination process is performed. Assuming that the process is activated and executed when a predetermined operation for starting is performed, the description will start from the point at which the process is activated. Here, for example, a boy in the fifth grade of elementary school is assumed to be the subject, and as the subject's height information, information specifying the height at the time of the first grade of elementary school, information specifying the height at the time of the second grade, and information specifying the height at the time of the third grade A case in which five pieces of information are input will be described: information specifying height at the time of elementary school, information specifying height at fourth grade, and information specifying height at fifth grade.

At SA1 in FIG. 2, the generation unit 152 executes a determination growth rate curve generation process. FIG. 3 is a flow chart of the judgment growth rate curve generation process. The “determination growth rate curve generation process” is a process of generating a determination growth rate curve. The "determining growth rate curve" is the aforementioned determining information, specifically, determining statistical physical identification information, for example, determining whether or not the target elementary school student has premature onset. It is information that serves as a reference.

At SB1 in FIG. 3, the generation unit 152 generates reference growth rate curves of a plurality of other subjects. FIG. 4 is a diagram illustrating a reference growth rate curve for one person. A “reference growth rate curve” is information specifying the growth rate of other subjects at each age. Note that the reference growth rate curve corresponds to the "second physical identification information", and the growth rate of the reference growth rate curve corresponds to the "second physical information".

The specific processing of SB1 in FIG. 3 is arbitrary, but for example, the reference height information of the reference height information DB 141 is acquired, and the annual growth rate of each of the other subjects is calculated based on the acquired reference height information. , by interpolating between the calculated growth velocities by an arbitrary interpolation method, generating reference growth velocity curves for the number of other subjects. The method of calculating the growth rate here is arbitrary, but for example, the growth rate is calculated using the formula "growth rate = height at age (N+1) - height at age N (N is an integer)". A case will be described. Here, for example, "height at the time of the second grade of elementary school (at the age of 8)" - "height at the time of the first grade of elementary school (at the age of 7)", "height at the time of the third grade of elementary school (at the age of 9)" - " A standard growth rate curve such as that shown in FIG. 4 is generated by performing interpolation after calculating "height at the time of the second grade of elementary school (8 years old)". Then, the aforementioned reference growth velocity curves for 600 males and 600 females are generated.

At SB2 in FIG. 3, the generator 152 classifies the reference growth speed curves of the other subjects generated at SB1 into a plurality of categories (that is, classifies the growth speeds of the other subjects into a plurality of categories). . FIG. 5 is a diagram illustrating reference growth rate curves for a plurality of persons. A “partition” is, for example, a set that is partitioned according to an arbitrary criterion. The specific classification method here is arbitrary, but for example, for a plurality of other subject's reference growth rate curves, as shown in FIG. ), and, as shown in FIG. We will use a classification method based on growth rate characteristics. Note that the "features of the growth rate of the reference growth rate curves of a plurality of other subjects" are, for example, the feature of variation in peak age shown in FIG. ), and the characteristic that the shapes of the reference growth rate curves shown in FIG.

FIG. 6 is an explanatory diagram of a method for classifying the reference growth rate curve, and FIG. 7 is a diagram showing first to fourth clusters. "First to fourth clusters" are sets of segmented reference growth rate curves. Each curve in FIG. 7 shows an average value as a representative value of the reference growth rate curves belonging to the first to fourth clusters.

The specific processing of SB2 in FIG. 3 is arbitrary, and classification is performed based on the characteristic that the shapes of the reference growth rate curves shown in FIG. 5(b) vary with each other. Males and females are classified separately. Since these classification methods are almost the same, the male classification method will be explained in detail, and the female classification method will be explained only in the parts that differ from the male classification method. explain.

Specifically, first, among the reference growth rate curves of the other subjects generated in SB1, a plurality of male reference growth rate curves are obtained, and for each of the obtained male reference growth rate curves, Each of the plurality of reference growth rate curves is relativized by aligning the peak points (points at which the growth rate is maximum) of each of the plurality of reference growth rate curves as origins. It should be noted that "the peak point (the point at which the growth rate is maximized) of each of a plurality of reference growth rate curves is mutually coincided as the origin" means, for example, while maintaining the shape of each reference growth rate curve, each reference growth rate curve After matching the peak points of each growth rate curve with one point, the one point is set as the origin.

Here, for example, the standard growth rate curves for 600 boys generated in SB1 are acquired, and the peak point is set to the origin as shown in FIG. Relativize by Although FIG. 6(a) shows the reference growth rate curve for one person, in reality, the peak point of the reference growth rate curve for 600 people is matched as the origin. relativize each of the reference growth rate curves of

Next, for each relativized reference growth rate curve, when the age and growth rate at the peak point are set to 0, the relative value of the growth rate is analyzed based on the variance-covariance matrix, and each relativized After obtaining the reference growth rate curve as a linear combination of the eigenvectors of the first to third principal components and the weight of each eigenvector, the weight representing each of the relativized reference growth rate curves is used to obtain the reference growth rate curve. Based on the degree of similarity in shape, similar objects are classified into the same category.

Here, for example, for each reference growth rate curve for 600 relatives, when the age and growth rate at the peak point are set to 0, the relative value of the growth rate is subjected to principal component analysis based on the variance-covariance matrix. , each relativized reference growth rate curve is obtained as a linear combination of the eigenvectors of the first to third components in FIG. 6(b) and the weight of each eigenvector. As an example, each relativized reference growth rate curve is defined as "W1 (weight) x eigenvector of the first principal component + W2 (weight) x eigenvector of the second principal component + W3 (weight) x eigenvector of the third principal component ( Note that W1 to W3 are different between each reference growth rate curve). Focusing on the weights (W1, W2, W3) corresponding to each reference growth rate curve, the reference growth rate curves with mutually similar shapes are classified into, for example, four categories so that they belong to the same category. . Any classification method may be used here, but for example, a known cluster-related logic may be applied. By processing in this way, for example, each standard growth rate curve for 600 people is classified into a section corresponding to one of the first to fourth clusters in FIG. As an example, the reference growth rate curves for 200 people, 200 people, 100 people, and 100 people are classified into the divisions corresponding to the first to fourth clusters in FIG.

The standard growth velocity curves for 600 females generated in SB1 are processed in the same manner as for males, and then classified into two categories. Here, a case where the number of categories for boys is 4 and the number of categories for girls is 2 will be explained, but it is possible to classify into an arbitrary number of categories while considering the accuracy of determination of early onset. (The same applies to the number of divisions of SB3, which will be described later).

At SB3 in FIG. 3, the generation unit 152 classifies each standard growth rate curve classified at SB2 based on the characteristics of peak age variations shown in FIG. classification). Specifically, it is arbitrary, but in one segment classified in SB2, each reference growth rate curve is obtained, and six segments are generated based on the peak age of each reference growth rate curve obtained, and each Classify the baseline growth rate curve into one of the six generated segments. Here, specifically for the generation of 6 sections, the average value of the peak age of the reference growth rate curve belonging to the section classified in SB2, ± 1SD, ± 2SD are calculated, and based on the calculation result, -2SD Category of less than (hereinafter referred to as Category 1), Category of -2 SD or more to less than -1 SD (hereinafter referred to as Category 2), Category of -1 SD or more to less than 0 SD (average value) (hereinafter referred to as Category 3), 0 SD or more Six divisions are generated: a division of ~ +1 SD (hereinafter referred to as the fourth division), a division of +1 SD or more and less than +2 SD (hereinafter referred to as a fifth division), and a division of +2 SD or more (hereinafter referred to as a 6 division). Note that "SD" is a concept corresponding to, for example, standard deviation. Then, this processing is performed for each of the four categories classified at SB2.

Here, for example, in SB2 for boys, as described above, the reference growth rate curves for 200, 200, 100, and 100 people are classified into the divisions corresponding to the first to fourth clusters in FIG. Therefore, the average peak age, ± 1SD, ± 2SD were calculated for 200 people classified into the division corresponding to the first cluster, and the first to sixth divisions were generated, and the reference growth for 200 people was calculated. The velocity curve is classified into any one of the generated first to sixth segments. Then, the reference growth rate curves for 200, 100, and 100 people classified into the categories corresponding to the second to fourth clusters in FIG. Classify into any one category. In this way, by performing the processing of SB2 and SB3, the reference growth rate curve of 600 males is classified into 4 divisions at SB2 and further classified into 6 divisions at SB3, resulting in 24 They are classified into categories of 4 (4×6). The reference growth rate curve of 600 females is classified into 2 divisions at SB2 and further classified into 6 divisions at SB3, so 12 divisions (2 x 6). will be

At SB4 in FIG. 3, the generator 152 generates a growth rate curve for judgment. Specifically, it is arbitrary, but for example, the median value of the growth rate of each age of the reference growth rate curve belonging to the categories classified by SB2 and SB3 is calculated, and based on the calculation result, the judgment growth rate curve is generated. do.

FIG. 8 is a diagram exemplifying a growth rate curve for determination. Here, for example, of the reference growth rate curves for 200 boys classified into the division corresponding to the second cluster in FIG. The median value of the growth rate for each age of the classified reference growth rate curves is calculated, and the determination growth rate curve L1 of FIG. 8 corresponding to the calculation result is generated. Similarly, at SB3, the median value of the growth rate for each age of the reference growth rate curves classified into the second to sixth sections is calculated, and the judgment growth rate curves L2 to L6 of FIG. 8 corresponding to the calculation results are calculated. to generate Similarly, among the reference growth rate curves for 200, 100, and 100 males classified into the categories corresponding to the first, third, and fourth clusters in FIG. 7 at SB2, SB3 24 growth rate curves for judgment are generated by generating the growth rate curves for judgment corresponding to the reference growth rate curves classified into the 1st to 6th divisions. Then, the determination growth rate curve generating process is returned.

Returning to FIG. 2, at SA2, the acquisition unit 151 acquires subject growth rate information. “Subject growth rate information” is information specifying a plurality of growth speeds of a subject. The growth speed information of the subject corresponds to the "first physical identification information", and the growth speed of the growth speed information of the subject corresponds to the "first physical information". FIG. 9 is a diagram exemplifying subject growth rate information. Although the processing of SA2 is specifically arbitrary, for example, information specifying the height of the subject input at the start of the determination processing is acquired, and based on the acquired information specifying the height, a plurality of growth A speed is calculated, and information specifying a plurality of calculated growth speeds is acquired as subject person growth speed information.

Here, for example, information specifying the height of the fifth grade boy who is the target person as of the first grade of elementary school, information specifying the height of the second grade of elementary school, information specifying the height of the third grade of elementary school, information specifying the height of the fifth grade By acquiring five pieces of information that specify the height in the first grade and the information specifying the height in the fifth grade of elementary school, and performing the same processing as in SB1 in FIG. , the growth speed between the 2nd and 3rd grades of elementary school, the growth speed between the 4th and 4th grades of elementary school, and the growth speed between the 4th and 5th grades of elementary school. acquires the subject growth rate information in FIG.

At SA3 in FIG. 2, the determination unit 153 determines whether or not the subject has early onset. Specifically, it is arbitrary, but for example, the target person growth rate information acquired in SA2 is acquired, and in the growth rate curve for judgment for the same gender as the target person generated in SB4 of FIG. A determination growth rate curve corresponding to the subject growth rate information is selected, and determination is made based on the selected determination growth rate curve. The specific method for selecting the growth rate curve for determination here is arbitrary, but for example, the one that most matches the acquired subject growth rate information is selected. A method of selecting the one that minimizes the sum of squares of the differences with respect to the growth rate information may be used. Then, when the selected growth rate curve for judgment is the growth rate curve for judgment of the first division (that is, the division whose peak age is less than -2 SD) in the divisions corresponding to the first to fourth clusters in FIG. , is determined to be early onset. Also, if the selected growth rate curve for judgment is not the growth rate curve for judgment of the first section in the divisions corresponding to the first to fourth clusters in FIG. velocity curve), it is determined not to be premature onset.

Here, for example, the target person's growth rate information in FIG. For example, the judgment growth rate curve L1 in FIG. 8 is selected as the judgment growth rate curve corresponding to the speed information. In this case, the judgment growth rate curve L1 in FIG. 8 is the judgment growth rate curve for the first segment (that is, the segment whose peak age is less than -2 SD), so it is determined to be early onset.

Although the subsequent processing is optional, for example, the control unit 15 may output the determination result of SA3 via the display unit 13 to notify the user of the determination result. This completes the determination process.

(Determination of early onset)
By performing the determination process described above, it is possible to determine whether or not early onset occurs for boys using four growth rates, and for girls, although not specifically exemplified. , The growth rate between the first and second grades of elementary school, and the growth rate between the second and third grades of elementary school can be used to determine whether or not the child has premature onset. It is possible to determine whether there is

(Effect of Embodiment)
As described above, according to the present embodiment, by determining the condition of the subject based on the acquired subject growth rate information and the generated determination growth rate curve, for example, determination of the subject's state can be performed quickly and objectively. In particular, for example, it is possible to make an appropriate determination in consideration of individual differences in the subject's growth process.

Further, the growth rate of the reference growth rate curve is classified into a plurality of categories based on the characteristics of the growth rate of the reference growth rate curve, and a judgment growth rate curve is generated based on the growth rate belonging to each of the plurality of classified categories. As a result, for example, the feature of the growth rate of the reference growth rate curve can be reflected in the growth rate curve for judgment, so it is possible to improve the accuracy of judging the state of the subject.

In addition, by classifying the growth rate of the reference growth rate curve into a plurality of categories, using the change state of the growth rate of the reference growth rate curve over time as a feature, for example, the growth rate of the reference growth rate curve over time Since the change state can be reflected in the growth rate curve for determination, it is possible to improve the determination accuracy of the subject's state.

Further, based on a predetermined standard, the growth rates of the reference growth rate curves are relative to each other, and the growth rate of the reference growth rate curve is characterized by the change state of the growth rates of the relative reference growth rate curves over time. By classifying the speed into a plurality of categories, for example, it is possible to improve the classification accuracy of the growth speed of the reference growth speed curve, so it is possible to improve the accuracy of determining the condition of the subject.

Further, by classifying the second physical information into a plurality of categories using the time element of the feature point of the growth rate of the standard growth rate curve as a feature, for example, the variation of the peak age at which the growth rate of the standard growth rate curve becomes maximum Since (the time element of the characteristic point of the second physical information) can be reflected in the determination growth rate curve, it is possible to improve the determination accuracy of the subject's condition.

In addition, one determination growth rate curve corresponding to the acquired target person growth rate information is selected from a plurality of determination growth rate curves corresponding to a plurality of categories, and based on the selected one determination growth rate curve By determining the condition of the subject, for example, the condition of the subject can be determined by relatively simple processing, so that the determination can be made quickly.

In addition, the first physical information is the growth speed of the subject, and the second physical information is the growth speed of a plurality of other subjects. Therefore, for example, it is possible to determine the state of the subject based on the growth speed. becomes.

Further, by determining whether or not a subject has early-onset disease as the condition of the subject, for example, it is possible to quickly and objectively determine whether or not the subject has early-onset disease.

[Modification to Embodiment]
Although the embodiments according to the present invention have been described above, the specific configuration and means of the present invention can be arbitrarily modified and improved within the scope of the technical ideas of each invention described in the claims. can be done. Such modifications will be described below.

(Problem to be solved and effect of invention)
First, the problems to be solved by the invention and the effects of the invention are not limited to the contents described above, and may differ depending on the details of the implementation environment and configuration of the invention. or only part of the effects described above.

(Regarding decentralization and integration)
Moreover, the configuration described above is functionally conceptual, and does not necessarily have to be physically configured as illustrated. That is, the specific form of distribution or integration of each part is not limited to the illustrated one, and all or part of them can be functionally or physically distributed or integrated in arbitrary units. A "system" in the present application is not limited to a system configured by a plurality of devices, and includes a system configured by a single device. In addition, the term "device" in the present application is not limited to one configured by a single device, but includes one configured by a plurality of devices. Also, the data structure and recording destination of recorded information may be changed arbitrarily.

(Regarding the person to be judged)
Further, in the above embodiment, in the determination process of FIG. 2, the case where the target person is a fifth grader has been exemplified, but for example, the target person may be a person under the fifth grade or a sixth grader or above. It may also be configured to automatically process a large number of subjects.

(Regarding the number of eigenvector components)
Further, in the above embodiment, the case where the number of components of the eigenvector described in SB1 of FIG. 3 is three has been described, but the present invention is not limited to this. For example, the number of eigenvector components may be two, or four or more.

(Regarding the number of divisions)
Further, in the above embodiment, a case has been described in which boys are classified into 24 categories and girls are classified into 12 categories. Alternatively, it may be classified into any other number of categories.

(Regarding the growth rate curve for judgment)
In addition, in SB4 of FIG. 3 of the above embodiment, the case where the growth rate curve for determination is generated by calculating the median value was exemplified. may be extended to generate the judging growth rate curve.

(Regarding judgment processing)
Further, the judgment growth rate curve generated at SB4 in FIG. The processing of SA2 and SA3 may be performed using the growth rate curve for determination that is already used.

(About features)
Moreover, the features of the embodiment and the features of the modifications may be combined arbitrarily.

(Appendix)
The determination system of Supplementary Note 1 is a determination system for determining the condition of a subject, and includes acquisition means for acquiring first body identification information that specifies the first body information of the subject over time, and the subject and generation means for generating determination information for determining the state of the subject based on the second body identification information that identifies the second body information of a plurality of other subjects over time; and the acquisition determining means for determining the condition of the subject based on the first body identification information acquired by the means and the determination information generated by the generating means;

The determination system according to Supplementary Note 2 is the determination system according to Supplementary Note 1, wherein the generation means generates the second physical information based on the characteristics of the second physical information specified by the second physical information. 2. The physical information is classified into a plurality of categories, and statistical body specific information for judgment based on the second physical information belonging to each of the plurality of classified categories is generated as the information for judgment.

The determination system according to supplementary note 3 is the determination system according to supplementary note 2, wherein the generating means classifies the second physical information into the plurality of categories based on at least a change state over time of the second physical information as a feature. do.

The determination system according to Supplementary Note 4 is the determination system according to Supplementary Note 3, wherein the generating means relativizes the second physical information specified by the second physical information based on a predetermined criterion, and relativizes the second physical information. The second physical information is classified into the plurality of categories based on the temporal change state of the obtained second physical information.

The determination system of Supplementary Note 5 is the determination system according to any one of Supplements 2 to 4, wherein the generation means is characterized by at least the time element of the feature point of the second physical information, and the second physical information are classified into the plurality of categories.

The determination system of Supplementary Note 6 is the determination system according to any one of Supplements 2 to 5, wherein the determination means obtains from the plurality of the statistical body identification information for determination corresponding to the plurality of categories, the acquisition means One of the statistical body-specific information for determination corresponding to the obtained first body-specific information is selected, and the condition of the subject is determined based on the selected one of the statistical body-specific information for determination.

The determination system of Supplementary Note 7 is the determination system according to any one of Supplementary Notes 1 to 6, wherein the first physical information is the subject's growth rate, and the second physical information is the other plurality of is the growth rate of the target person.

The determination system according to Supplementary Note 8 is the determination system according to Supplementary Note 7, wherein the determination means determines whether or not the subject has premature onset as the state of the subject.

The determination program of Supplementary Note 9 is a determination program for determining the condition of a subject, comprising a computer configured to acquire first physical information identifying the first physical information of the subject over time; generating means for generating judgment information for judging the state of the subject based on the second body identification information that chronologically identifies the second body information of a plurality of subjects different from the subject; and determination means for determining the condition of the subject based on the first body identification information acquired by the acquisition means and the determination information generated by the generation means.

(Effect of Supplementary Note)
According to the determination system described in Supplementary Note 1 and the determination program described in Supplementary Note 9, by determining the state of the subject based on the obtained first body identification information and the generated determination information, for example , it is possible to quickly and objectively determine the subject's condition. In particular, for example, it is possible to make an appropriate determination in consideration of individual differences in the subject's growth process.

According to the determination system described in Supplementary Note 2, the second physical information is classified into a plurality of categories based on the characteristics of the second physical information, and the statistical physical information for determination based on the second physical information belonging to each of the plurality of classified categories is obtained. By generating the specific information, for example, the characteristics of the second physical information can be reflected in the statistical physical specific information for determination, so it is possible to improve the accuracy of determination of the condition of the subject.

According to the determination system described in Supplementary Note 3, by classifying the second physical information into a plurality of categories based on the change state over time of the second physical information, for example, the change over time of the second physical information Since the changed state can be reflected in the statistical body-specific information for determination, it is possible to improve the accuracy of determination of the subject's state.

According to the determination system described in Supplementary Note 4, the second physical information is made relative to each other based on a predetermined standard, and the second physical information is characterized by the change state over time of the relative second physical information. By classifying the information into a plurality of categories, for example, the classification accuracy of the second physical information can be improved, so it is possible to improve the accuracy of determining the state of the subject.

According to the determination system described in Supplementary Note 5, by classifying the second physical information into a plurality of categories using the time element of the feature point of the second physical information as a feature, for example, the time of the feature point of the second physical information Since the elements can be reflected in the statistical body-specific information for determination, it is possible to improve the accuracy of determination of the subject's condition.

According to the determination system described in Supplementary Note 6, one piece of statistical body-specific information for determination corresponding to the acquired first body-specific information is selected from a plurality of statistical body-specific information for determination corresponding to a plurality of categories, and selected By judging the condition of the subject based on one piece of statistical body-specific information for judgment, for example, the condition of the subject can be judged by relatively simple processing, so that the judgment can be made quickly. becomes.

According to the determination system described in Supplementary Note 7, the first physical information is the growth speed of the subject, and the second physical information is the growth speed of a plurality of other subjects. It is possible to determine the state of a person.

According to the determination system described in Supplementary Note 8, by determining whether or not the subject has early onset as the condition of the subject, for example, it is possible to quickly and objectively determine whether the subject has early onset can be done.

11 communication unit 12 operation unit 13 display unit 14 recording unit 15 control unit 100 determination device 141 reference height information DB
151 Acquisition unit 152 Generation unit 153 Determination unit L1 Determination growth rate curve L2 Determination growth rate curve L3 Determination growth rate curve L4 Determination growth rate curve L5 Determination growth rate curve L6 Determination growth rate curve

Claims (6)

A determination system for determining a subject's condition,
Acquisition means for acquiring first physical identification information that identifies the subject's first physical information over time;
Generating means for generating judgment information for judging the state of the subject based on the second physical identification information for temporally identifying the second physical information of a plurality of other subjects different from the subject. When,
determining means for determining the state of the subject based on the first body-specific information acquired by the acquiring means and the determination information generated by the generating means ;
The generating means generates the second physical information specified by the second physical information for each of the other plurality of subjects based on the characteristics of the second physical information specified by the second physical information. classifying into a plurality of categories in units and generating statistical body identification information for determination based on the second body information belonging to each of the plurality of categories as the information for determination;
The generating means generates a state of change over time of the second physical information specified by the second physical identification information for each of the other plurality of subjects, or the second physical information for each of the plurality of other subjects. 2 based on the time element of the feature point of the second physical information specified by the second physical information, the second physical information specified by the second physical information for each of the other plurality of subjects is obtained from the plurality of classified into the categories of
The first physical information is the subject's growth rate,
The second physical information is the growth speed of the plurality of other subjects,
judgment system. The generating means relativizes the second physical information specified by the second body identifying information for each of the other plurality of subjects based on a predetermined standard, and relativizes the second body classifying the second physical information identified by the second physical identification information for each of the plurality of other subjects into the plurality of categories, characterized by the state of change over time of the information;
The determination system according to claim 1. The determining means selects one of the statistical body-specific information for determination corresponding to the first body-specific information acquired by the acquisition means from a plurality of the statistical body-specific information for determination corresponding to the plurality of categories. , determining the condition of the subject based on the selected one of the statistical body-specific information for determination;
The determination system according to claim 1 or 2 . The determination means determines whether or not the subject has early onset as the condition of the subject.
A determination system according to any one of claims 1 to 3 . storage means for storing height information indicating the height of each of the other plurality of subjects;
The generation means generates the second body identification information based on the height information stored in the storage means, and generates the determination information based on the generated second body identification information. ,
A determination system according to any one of claims 1 to 4. A determination program for determining the condition of a subject,
the computer,
Acquisition means for acquiring first physical identification information that identifies the subject's first physical information over time;
Generating means for generating judgment information for judging the state of the subject based on the second physical identification information for temporally identifying the second physical information of a plurality of other subjects different from the subject. When,
functioning as determination means for determining the state of the subject based on the first body identification information acquired by the acquisition means and the determination information generated by the generation means ;
The generating means generates the second physical information specified by the second physical information for each of the other plurality of subjects based on the characteristics of the second physical information specified by the second physical information. classifying into a plurality of categories in units and generating statistical body identification information for determination based on the second body information belonging to each of the plurality of categories as the information for determination;
The generating means generates a state of change over time of the second physical information specified by the second physical identification information for each of the other plurality of subjects, or the second physical information for each of the plurality of other subjects. 2 based on the time element of the feature point of the second physical information specified by the second physical information, the second physical information specified by the second physical information for each of the other plurality of subjects is obtained from the plurality of classified into the categories of
The first physical information is the subject's growth rate,
The second physical information is the growth speed of the plurality of other subjects,
judgment program.

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