JP2020038573A - Evaluation system and evaluation program - Google Patents

Abstract

To provide an evaluation system capable of quickly and objectively evaluating a state of an object person, and an evaluation program.SOLUTION: An evaluation device 100 for evaluating a growth state of a child comprises: a first acquisition unit 151 which acquires first body information, which is temporal information on a body growth state of the child; an estimation unit 154 which estimates a start estimated age used to evaluate a body state of the child on the basis of the first body information acquired by the first acquisition unit 151; an evaluation unit 155 which evaluates the growth state of the child on the basis of the start estimated age estimated by the estimation unit 154; and an output unit 156 which outputs the growth state of the child evaluated by the evaluation unit 155. The estimation unit 154 selects one second body information among a plurality of second body information on the basis of the first body information and the second body information, and estimates the start estimated age on the basis of the selected one second body information.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an evaluation system and an evaluation program.

  In general, childhood is a variable period in childhood, and delaying the discovery of developmental problems such as impaired growth and obesity may lead to rapid deterioration of symptoms and the spread of other problems. Had been. In particular, the role of educational institutions that watch children every day is important. For example, in order to manage the growth of children, school health examinations were conducted at elementary schools, and the physical condition of the children was regularly measured.

  Therefore, an educational institution has proposed a school management device (for example, see Patent Literature 1) that records and uses information about growth as a device for managing the state of growth of children. The educational institution records information on the growth of the child using a device such as the school management device, and evaluates the growth state of the child based on the recorded information.

JP-A-6-83843

  However, regarding the evaluation of the child's development status performed by the educational institution, a specialist (for example, a school doctor) visually checks the child information recorded on the school management device one by one and examines his or her own experience. Because it was performed based on the rules, it takes a relatively long time (for example, about one and a half to two minutes per person), and there is room for the subjective opinion of the specialist to enter the evaluation. Could lack objectivity.

  The present invention has been made in view of the above problems, and has as its object to provide an evaluation system and an evaluation program capable of quickly and objectively evaluating the state of a subject.

  In order to solve the above-described problem and achieve the object, the evaluation system according to claim 1 is an evaluation system that evaluates a state of a subject, and includes information over time regarding a physical state of the subject. First obtaining means for obtaining certain first physical information; and estimating estimation information used for evaluating the physical condition of the subject based on the first physical information obtained by the first obtaining means. Estimating means for estimating, estimating means for estimating the state of the subject based on the estimating information estimated by the estimating means, and state output means for outputting the state of the subject evaluated by the estimating means And.

  Further, the evaluation system according to claim 2 is the evaluation system according to claim 1, wherein the second body information is a reference for estimating the estimation estimation information, and is second-time information regarding a state of a body. A second obtaining unit configured to obtain a plurality of the second physical information, wherein the estimating unit includes the first physical information obtained by the first obtaining unit and a plurality of the second physical information obtained by the second obtaining unit. And selecting one of the plurality of second physical information based on the second physical information, and calculating the evaluation estimation information based on the selected one of the second physical information. presume.

  The evaluation system according to claim 3 is the evaluation system according to claim 2, wherein the estimating unit acquires the first physical information acquired by the first acquiring unit and the second physical information acquired by the second acquiring unit. One of the plurality of second physical information is selected based on a difference from the plurality of second physical information.

  Further, the evaluation system according to claim 4 is the evaluation system according to claim 2 or 3, further comprising: a generation unit configured to generate the second physical information based on reference physical information; Acquires the second physical information generated by the generating means.

  Also, in the evaluation system according to claim 5, in the evaluation system according to any one of claims 1 to 4, the first acquisition unit transmits the information that specifies a growth rate with respect to the age of the subject. Acquired as first physical information, the estimating means estimates the age at which the growth rate of the subject reaches a peak as the estimation estimation information.

  Also, in the evaluation system according to claim 6, in the evaluation system according to any one of claims 1 to 4, the first acquisition unit transmits the information that specifies a growth rate with respect to the age of the subject. Acquired as first physical information, the estimating means estimates, as the evaluation estimation information, a phenomenon in which the growth rate of the subject starts to increase, or an age at which the phenomenon occurs.

  The evaluation system according to claim 7 is the evaluation system according to any one of claims 1 to 6, wherein the evaluation unit compares the evaluation estimation information estimated by the estimation unit with a threshold. Then, the state of the subject is evaluated based on the comparison result.

  Further, an evaluation program according to claim 8 is an evaluation program for evaluating a state of a subject, wherein a computer obtains first physical information that is time-related information on a physical state of the subject. (1) acquiring means, estimating means for estimating estimation estimation information used for evaluating the physical condition of the subject based on the first physical information acquired by the first acquiring means, and estimating means And a state output unit that outputs the state of the subject evaluated by the evaluation unit based on the estimation information estimated by the evaluation unit.

  According to the evaluation system according to claim 1, by evaluating the state of the subject based on the estimation estimation information used to evaluate the physical condition of the subject, for example, The evaluation can be performed quickly and objectively.

  According to the evaluation system of claim 2, one of the plurality of second physical information is selected, and the estimated estimation information is evaluated based on the selected one of the second physical information. By estimating, for example, the estimation estimation information can be estimated based on the second physical information, so that the estimation accuracy of the estimation estimation information can be improved, and the evaluation accuracy of the subject's state can be improved. It is possible to do.

  According to the evaluation system according to claim 3, by selecting one of the plurality of second physical information based on the difference between the first physical information and the second physical information, For example, the second physical information can be selected by performing a relatively simple process of obtaining a difference, so that the state of the subject can be quickly evaluated.

  According to the evaluation system of claim 4, by generating the second physical information, for example, a situation other than a situation where all the second physical information exists (that is, a situation where the second physical information does not exist, Alternatively, since the second physical information can be used even in a situation where the number of the second physical information is relatively small, the physical condition of the subject can be evaluated in various situations, and the versatility can be improved. Becomes possible.

  According to the evaluation system of the fifth aspect, by estimating the age at which the growth rate reaches a peak as the estimation estimation information, for example, it is useful for evaluating the state of the subject (for example, the development state). Since the evaluation can be performed using the statistical information, it is possible to improve the evaluation accuracy of the state of the subject.

  According to the evaluation system of the sixth aspect, by estimating the phenomenon in which the growth rate of the subject starts to increase or the age at which the phenomenon occurs as estimation estimation information, for example, the state of the subject (for example, Can be evaluated using characteristic information that is useful for the evaluation of the (developing state), so that the evaluation accuracy of the state of the subject can be improved.

  According to the evaluation system according to claim 7, the estimation estimation information is compared with the threshold, and the state of the subject is evaluated based on the comparison result, for example, the evaluation estimation information is compared with the threshold. By performing a relatively simple process of performing the evaluation, the state of the target person can be evaluated, so that the evaluation of the state of the target person can be performed quickly.

  According to the evaluation program described in claim 8, by evaluating the state of the subject based on the estimation estimation information used for evaluating the physical condition of the subject, for example, The evaluation can be performed quickly and objectively.

It is a block diagram of an evaluation device concerning an embodiment. It is the figure which illustrated the body measurement information. It is a display example of a judgment support screen. FIG. 4 is a diagram illustrating an index value area of FIG. 3. FIG. 4 is a diagram illustrating a plot area of FIG. 3. FIG. 4 is a diagram showing a judgment support area in FIG. 3. It is a figure for explaining information etc. of a judgment support area. FIG. 4 is a diagram illustrating a risk evaluation area in FIG. 3. It is a flowchart of a start estimated age related process. It is the figure which illustrated the graph of the growth rate curve. It is the figure which illustrated the graph of the growth rate curve. It is the figure which illustrated the graph of the growth rate curve. It is the figure which illustrated the graph of the growth rate curve. It is the figure which illustrated the graph of the growth rate curve.

  Hereinafter, an embodiment of an evaluation system according to the present invention will be described in detail with reference to the drawings. The present invention is not limited by the embodiment.

[Basic concept of the embodiment]
First, a basic concept of the embodiment will be described. Embodiments generally relate to evaluation systems.

  Here, the “evaluation system” is a system that evaluates the state of the subject, for example, a system that evaluates the growth state of the subject. As an example, a first acquisition unit, an estimation unit, an evaluation unit, And a state output means, and optionally a second acquisition means and a generation means. This evaluation system includes, for example, a general-purpose system provided with the above-described units, or a system including the respective units and configured as a dedicated system for evaluating the state of the subject. It is.

  The “subject” is a person to be evaluated, specifically, a person to be evaluated using an evaluation system, and includes, for example, children, adults, elderly people, men, women, and the like. It is a concept. The “state of the subject” refers to the status of the subject to be evaluated, specifically, the status of the subject to be evaluated using the evaluation system. It is a concept that includes the state of ability, the state of aging, the state of cognitive ability, and the like.

  The “first obtaining unit” is a unit that obtains first physical information that is temporal information regarding the physical state of the subject. The “estimating means” is means for estimating estimation estimation information used for evaluating the physical condition of the subject based on the first physical information acquired by the first acquiring means. Based on the first physical information obtained by the obtaining means and the plurality of second physical information obtained by the second obtaining means, one of the plurality of second physical information is selected and selected. It is a concept including means for estimating estimation estimation information based on one piece of second physical information obtained, and a plurality of first physical information acquired by the first acquiring means and a plurality of Is a concept including means for selecting one of the plurality of second physical information based on the difference with the second physical information, and the growth rate of the subject reaches a peak. This concept includes means for estimating age as estimation estimation information, and Phenomenon that the growth rate of the elephant's begins to increase, or a concept including means such as for estimating the age which the symptoms as evaluation estimation information.

  The “estimated estimation information” is information used for evaluating the state of the target person, and is information to be estimated. Specifically, the state of the target person (for example, the development state, etc.) And information that can be estimated from the first physical information. For example, the age at which the growth rate of the subject reaches a peak, a phenomenon in which the growth rate of the subject starts to increase, or the phenomenon occurs. This is information including age and the like. The “growth speed” is a speed at which the subject grows, and is a concept including, for example, a speed at which the subject grows or a speed at which the subject gains weight. Is the "speed at which the height of the subject increases".

  The “age at which the growth rate is at a peak” is a concept that includes, for example, the age of the subject at which the growth rate is at a maximum. The “phenomenon in which the growth rate of the subject starts to increase” is a phenomenon in which the growth rate starts to accelerate, for example, a so-called growth rate curve in which the growth rate increases relatively strongly (or has a sign of relatively strong increase). This is a concept including a phenomenon in which (a curve of a graph in which the growth rate is plotted against the age of the subject) spurts (rises). “The growth rate starts accelerating” means, for example, that the acceleration of the growth rate starts to increase by a predetermined value or more, or that there is a sign that the acceleration of the growth rate starts to increase by a predetermined value or more (that is, the acceleration of the growth rate) Is about to start increasing immediately above a predetermined value).

  The “evaluation means” is means for evaluating the state of the subject based on the estimation estimation information estimated by the estimation means. For example, the evaluation means compares the evaluation estimation information estimated by the estimation means with a threshold. , A concept including means for evaluating the state of the subject based on the comparison result. The “state output unit” is a unit that outputs the state of the subject evaluated by the evaluation unit. “Outputting the state of the target person” is a concept that includes, for example, displaying and outputting the state of the target person, outputting the state by voice, or printing and outputting the state. .

  The “second acquisition unit” is a unit that acquires a plurality of pieces of second body information that is time-related information on the state of the body, which is the second body information serving as a reference for estimating the estimation estimation information. For example, the concept includes a unit for acquiring the second physical information generated by the generating unit.

  Further, the above-mentioned “first physical information” is temporal information regarding the physical condition of the target person, and specifically, is information related to the physical condition of the target person. This is information that exists two or more with the passage of time, for example, information corresponding to an arbitrary timing (for example, every several years, every semester, every week, or the like). The “first physical information” is, for example, information for specifying height, weight, eyesight, hearing, grip, back muscle strength, blood pressure, blood sugar level, or the like, or arbitrary information calculated from each of these information (for example, Is a concept including the growth rate (the same applies to “second physical information” described later).

  Further, the “second physical information” is information serving as a reference for estimating the estimation estimation information, which is temporal information on the state of the body, and specifically, is compared with the first physical information. Information, for example, information corresponding to an arbitrary timing (for example, every few years, every semester, or every week), and any method (for example, information based on an academic paper is used as it is) Method, a method of partially editing the information, a method of deriving by simulation or experiment, or a method of using information generated by the generation unit. For example, a growth rate curve Is a concept including information for specifying

  The “generating unit” is a unit that generates the second physical information based on the reference physical information. The “reference physical information” is information serving as a reference of the second physical information, and is, for example, information predetermined based on an arbitrary method (for example, an experiment performed in the past, a simulation, or the like). This is a concept including information known in academic papers or other media. Although any information can be used as the “reference physical information”, here, for example, an average growth rate curve of a plurality of children (hereinafter, also referred to as a “reference growth rate curve”), Growth rate curves corresponding to growth rates of ± 1 SD and ± 2 SD based on each growth rate (that is, four growth rate curves) (hereinafter also referred to as “deviation growth rate curves”), and the reference growth rate curves When using information for specifying each peak value (coordinate value between age and growth rate) of the growth rate curve of ± 1SD and ± 2SD based on the peak value (maximum value) of the deviation growth rate curve and the like Will be described as an example. In addition, as the “reference physical information”, together with information for specifying the above-mentioned reference growth rate curve, deviation growth rate curve, coordinate values of age and growth rate, or in place of each information, a plurality of children A curve for specifying a standard height (hereinafter also referred to as a “standard height curve”), a curve corresponding to a weight of ± 1 SD and ± 2 SD based on each weight of the standard height curve (hereinafter also referred to as a “deviation height curve”) ), A curve specifying the standard weight of a plurality of children (hereinafter, also referred to as “reference weight curve”), and curves corresponding to weights of ± 1SD and ± 2SD based on each weight of the reference weight curve (hereinafter, “ For example, information specifying the “deviation weight curve” may be used. Note that “SD” is a concept that specifies, for example, a standard deviation. Further, these pieces of information may be common to each gender (that is, a man or a woman), or may be divided for each gender.

  In the embodiment described below, a case where the “target person” is a child (particularly, a child) and the “target person state” is a growth state will be described.

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

(Constitution)
First, the configuration of the evaluation device according to the present embodiment will be described. FIG. 1 is a block diagram of the evaluation device according to the present embodiment.

  The evaluation device 100 shown in FIG. 1 is an evaluation system, which specifically evaluates the growth state of an elementary school child, and is, for example, installed in a school or the like. As an example, A communication unit 11, an operation unit 12, a display unit 13, a recording unit 14, and a control unit 15 are provided.

(Configuration-Communication unit)
The communication unit 11 is a communication unit that performs communication with another device via a network. The “other device” is any device other than the evaluation device 100, and is a concept including, for example, a stationary computer device provided inside or outside a school, or a portable portable terminal. . Although the specific type and configuration of the communication unit 11 are arbitrary, for example, the communication unit 11 can be configured to include a known communication circuit or the like.

(Configuration-Operation unit)
The operation unit 12 is a receiving unit that receives various operation inputs from the user by an operation performed by the user. Although the specific type and configuration of the operation unit 12 are arbitrary, the operation unit 12 may include, for example, a known input device such as a mouse or a keyboard.

(Configuration-display unit)
The display unit 13 is a display unit that displays various information based on 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 to include a flat panel display such as a known liquid crystal display or an organic EL display.

(Configuration-recording unit)
The recording unit 14 is a recording unit that records programs and various data necessary for the operation of the evaluation device 100, and is configured using, for example, a hard disk (not shown) as an external recording device. However, in place of or in addition to the hard disk, a magnetic recording medium such as a magnetic disk, an optical recording medium such as a DVD or a Blu-ray disk, or an electric recording medium such as a Flash, a ROM, a USB memory, or an SD card. Any recording medium can be used.

  The recording unit 14 includes, for example, a body measurement information database 141 (hereinafter, the database is referred to as “DB”) and a reference information DB 142.

(Configuration-Recorder-Body Measurement Information DB)
The body measurement information DB 141 is a body measurement information storage unit. Here, the “body measurement information” is information that is the basis of the above-described first body information. FIG. 2 is a diagram illustrating body measurement information. In FIG. 2, "..." actually stores specific information, but for convenience of explanation, it is omitted from the drawings (shown in the following drawings for convenience). Is displayed as "..."). As shown in FIG. 2, the physical measurement information includes items “identification information”, item “name information”, item “date of birth information”, item “sex information”, item “semester information”, and item “height information”. , And the item “weight information” and information corresponding to each item are associated with each other.

  Here, the information corresponding to the item “identification information” is identification information for uniquely identifying the child (“ID1” or the like in FIG. 2). The information corresponding to the item “name information” is name information that specifies the name of the child (“AA AA” or the like in FIG. 2). The information corresponding to the item “date of birth information” is date of birth information that specifies the date of birth of the child (in FIG. 2, “200550412” that specifies April 12, 2005). The information corresponding to the item “sex information” is gender information that specifies the gender of a child (in FIG. 2, “male” that specifies a boy, or “female” (not shown) that specifies a girl). The information corresponding to the item “semester information” is semester information that specifies the school year and semester of the child (in FIG. 2, “1st semester” that specifies one semester of the first grader). The information corresponding to the item “height information” is height information that specifies the height of the child (in FIG. 2, the unit is cm, and “104.4” that specifies 104.4 cm). The information corresponding to the item “weight information” is weight information for specifying the weight of the child (in FIG. 2, the unit is kg, “18.6” for specifying 18.6 kg, and the like).

  The method of recording such anthropometric information is arbitrary. For example, the result of anthropometric measurement performed for each semester is input to the person in charge (for example, a teacher in charge, a public health nurse, or a Is input via the operation unit 12 for recording.

(Configuration-Recording Unit-Reference Information DB)
The reference information DB 142 is a reference information storage unit that stores reference information. Here, the “reference information” is information for specifying a reference in various processes performed by the evaluation device 100, and specific contents will be described later.

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

  The control unit 15 includes a first acquisition unit 151, a second acquisition unit 152, a generation unit 153, an estimation unit 154, an evaluation unit 155, and an output unit 156 functionally. The first obtaining unit 151 is a first obtaining unit that obtains first physical information that is temporal information regarding the physical state of the subject. The second acquisition unit 152 is a second acquisition unit that acquires a plurality of pieces of second body information, which is second body information serving as a reference for estimating estimation estimation information, and is time-related information on a body state. The generation unit 153 is a generation unit that generates the second physical information based on the reference physical information. The estimating unit 154 is an estimating unit that estimates estimation estimation information used for evaluating the physical condition of the subject based on the first physical information acquired by the first acquiring unit. The evaluation unit 155 is an evaluation unit that evaluates the state of the subject based on the estimation estimation information estimated by the estimation unit. The output unit 156 is a state output unit that outputs the state of the subject evaluated by the evaluation unit. The processing performed by each unit of the control unit 15 will be described later.

(processing)
Next, processing executed by the evaluation device 100 configured as described above will be described. Specifically, the determination support screen output process will be described. The “judgment support screen output process” is a process of generating a judgment support screen and outputting the generated judgment support screen.

  Here, the “judgment support screen” is a screen for assisting a doctor (for example, a school physician or the like) in determining a growth state of a child who is the target person, and specifically, Is a screen on which useful information is displayed for performing the processing, for example, a screen generated by the control unit 15 and displayed on the display unit 13 by the control unit 15. FIG. 3 is a display example of the judgment support screen. As shown in FIG. 3, the “judgment support screen” includes, for example, an index value area 21, a plot area 22, a judgment support area 23, a risk evaluation area 24, and a judgment result input area 25.

  Then, the information of each of these areas is generated and output by executing a judgment support screen output process, and the judgment support screen output process includes, for example, an index value area output process, a plot area output process, It includes a judgment support area output process, a risk evaluation area output process, and a judgment result input area output process, and will be described separately for each process.

(Processing-index value area output processing)
First, the index value area output processing will be described. The “index value area output processing” is a part of the judgment support screen output processing, and is, for example, a processing of generating and outputting information of the index value area 21 in FIG. The timing of executing the “index value area output process” is arbitrary. For example, a predetermined operation (operation of specifying one of the children in FIG. 2 and starting the process) via the operation unit 12 is performed. The description will be made from the point of activation assuming that it is activated and executed when received (the same applies to other processes). Here, for example, after describing each information of the area to be output by executing the process, “name information” of FIG. 2 is changed to “AA AA” by a predetermined operation via the operation unit 12 described above. The processing content when the corresponding child is designated and activated will be described (the same applies to other processing). Since the conventional processing can be applied to the index value area output processing, only the outline will be described (the same applies to the risk evaluation area output processing).

(Processing-index value area output processing-index value area)
First, the index value area 21 will be described. FIG. 4 is a diagram showing the index value area of FIG. As shown in FIG. 4, the index value area 21 is an area displaying various index values, and includes, for example, a time display section 211, a name display section 212, and an information display section 213.

(Processing-index value area output processing-index value area-timing display column)
The time display column 211 is a portion in which the time of each index value is displayed. For example, an item “first grader” for specifying the grade of the child and an item “1 semester” for specifying the semester are displayed. Part.

(Processing-index value area output processing-index value area-name display column)
The name display column 212 is a portion where the name of the index value is displayed, specifically, a portion where the name of the index value displayed at the corresponding position is displayed. , Item “age”, item “height”, item “weight”, item “height SD value”, item “growth rate (growth per year)”, item “growth speed SD value”, item “weight change”, The item “weight SD value”, the item “obesity degree”, the item “obesity degree judgment”, the item “standard weight”, and the item “comprehensive judgment history” are displayed.

  The item “date” specifies the date. The item “age” specifies the age of the child. The item “height” specifies the height of the child. The item “weight” specifies the weight of the child.

  The item “height SD value” specifies the SD score for the height of the child. The “SD score for height” is, for example, a value that specifies the height of the height of a child who is a child in the population in consideration of the variation in height of children of the same age that is a population, For example, it is a value obtained by an arithmetic expression of (“the height of the target child” − “the standard height in the population”) ÷ “the standard deviation of the height in the population” (“the height of the The same applies to "SD score" and "SD score of child weight".

  The item “growth rate (growth in one year)” specifies the growth rate of the child. The “child growth rate” is a value that specifies the height of a child who has grown during one year. The item “growth speed SD value” specifies an SD score for the growth speed of the child. The item “weight change” specifies a change in the weight of the child. The “change in weight of the child” is a value that specifies the weight that has changed based on the previous weight. The item “weight SD value” specifies the SD score of the weight of the child. The item “degree of obesity” specifies the degree of obesity of a child. The “child obesity degree” is the degree of obesity, and is, for example, (“the weight of the target child” − “the standard weight in the population”) ÷ “the standard weight in the population” × 100. Is a value obtained by

  The item “obesity degree determination” specifies the determination result regarding the child's obesity degree. Note that the “judgment result regarding the degree of obesity of a child” is information for specifying a standard for the degree of obesity, and for example, for identifying “standard”, “thin”, “light obesity”, “obesity”, etc. As an example, an arbitrary obesity degree criterion (for example, less than -10.0 is “thin”, -10.0 or more to less than 10.0 is “standard”, and 10.0 or more It is assumed that less than 20.0 is “light obesity” and 20.0 or more is “obesity”) is recorded as part of the reference information in the reference information DB 142 of FIG. The determination is made based on the degree determination standard and information corresponding to the item “degree of obesity”.

  The item “standard weight” specifies the standard weight. Here, as for the “standard weight”, in the population of each age of the target child (for example, children nationwide, children by prefecture), any that has been calculated in advance by an arbitrary method, It is assumed that the information is recorded as a part of the reference information in the reference information DB 142 of FIG. 1, and this information is displayed. The item “comprehensive judgment history” specifies the history of the result of the comprehensive judgment on the development of the child.

(Processing-index value area output processing-index value area-information display column)
The information display column 213 is a portion where information on index values corresponding to the time display column 211 and the name display column 212 is displayed.

(Processing-index value area output processing-specific processing)
Next, a specific process of the index value area output process will be described. First, the control unit 15 refers to the body measurement information in FIG. 2 and acquires information corresponding to the child specified by the predetermined operation received at the time of activation. Next, the control unit 15 performs various processes corresponding to the above-described time display field 211 and name display field 212 on the acquired information to generate information to be displayed in the information display field 213, and then generates the information. Display information.

  Here, for example, first, the control unit 15 acquires the body measurement information specifically illustrated in FIG. 2 (that is, information corresponding to “name information” = “AA AA” in FIG. 2). Next, an arbitrary method (for example, it is assumed that the physical measurement is predetermined for each semester as a school event, and that the specified date is recorded in the recording unit 141, and is specified with reference to this date. The date on which the body measurement was performed is specified by a method or the like, and information corresponding to the specified date is displayed in a portion corresponding to the item “date” in FIG. 4 (“2012/4/10” in FIG. 4). etc). Next, referring to the date of birth information in FIG. 2, the age on the displayed date is calculated, and the calculated age is displayed in a portion corresponding to the item “age” in FIG. Then, "6 years and 11 months" etc.). Next, the height information and the weight information obtained from the height information and the weight information in FIG. 2 are displayed in a portion corresponding to the item “height” and the item “weight” in FIG. 4 (in FIG. 4, “104.4 cm”). And "18.6 kg"). Next, an SD score for the height is calculated based on the height information in FIG. 2, and the calculated SD score for the height is displayed in a portion corresponding to the item “height SD value” in FIG. , "-2.9"). Next, the growth rate of the child is calculated based on the height information of FIG. 2, and the calculated growth rate is displayed in a portion corresponding to the item “growth rate (growth for one year)” in FIG. 4 (FIG. 4). Then, the difference between the height of the first semester of the second grader, “111.2 cm” and the height of the first semester of the first grade, “104.4 cm”, is “6.8 cm”. In addition, since there is no information of the height one year ago, the portion corresponding to the item "first grader" of the item "growth speed (growth in one year)" in FIG. 4 is not displayed because the growth speed cannot be calculated. It has become. Next, an SD score for the growth rate is calculated based on the calculated growth rate, and the calculated SD score is displayed in a portion corresponding to the item “growth rate SD value” in FIG. "1.5" etc.). Next, based on the weight information of FIG. 2, a change in weight, an SD score of the weight, and an obesity degree are calculated, and the calculation results are represented by an item “weight change”, an item “weight SD value” in FIG. It is displayed in a portion corresponding to “degree of obesity” (in FIG. 4, “2.4 kg”, “0.7”, “18.1%”, etc.). Next, with reference to the obesity degree criterion recorded in the reference information DB 142 of FIG. 1, a condition to which the above-mentioned calculated obesity degree corresponds is specified, and information corresponding to the specified condition is stored in the item of FIG. It is displayed in a portion corresponding to "judgment degree determination" ("standard" in FIG. 4). Next, the standard weight recorded in the reference information DB 142 in FIG. 1 is acquired, and the acquired standard weight is displayed in a portion corresponding to the item “standard weight” in FIG. 4 (“15.7 kg” in FIG. 4). etc). The processing of the information corresponding to the item “comprehensive determination history” in FIG. 4 will be described later.

(Processing-plot area output processing)
Next, plot area output processing will be described. The “plot area output processing” is a part of the judgment support screen output processing, and is, for example, processing for generating and outputting information of the plot area 22 in FIG.

(Processing-plot area output processing-plot area)
First, the plot area 22 will be described. FIG. 5 is a diagram showing the plot area of FIG. As shown in FIG. 5, the plot area 22 is an area displaying various graphs, and includes, for example, a height-weight graph 221, a growth rate graph 222, and an obesity degree graph 223.

(Processing-plot area output processing-plot area-height and weight graph)
The height and weight graph 221 is a graph that specifies the transition of the height with respect to the age and the transition of the weight with respect to the age. For example, a curve or a plot that specifies the transition of the height (upper drawing) and a curve that specifies the transition of the weight or A plot (bottom of the drawing) is included.

  For the curve or plot that specifies the change in height, a curve corresponding to the reference height curve (the third solid line from the top group in the drawing) and the deviation height curve (the group in the top drawing) The first, second, fourth, and fifth solid lines from the top), the judgment threshold curve (two dashed lines in the drawing), and a plot that specifies the height of the child (circled plot in the drawing) include. The “height determination threshold curve” is a threshold curve that is referred to for determining a child's development state, and as an example, a curve corresponding to −2.5SD or −3SD based on a reference height curve. is there. The “medical care required” will be described later.

  Regarding the curve or plot for specifying the change in weight, a curve corresponding to the above-mentioned reference weight curve (third solid line from the top in the lower group of the drawing) and a deviation weight curve (the upper group in the drawing) Among them, the first, second, fourth, and fifth solid lines from the top) and a plot (rectangular plot in the drawing) specifying the weight of the child are included.

(Processing-plot area output processing-plot area-growth rate graph)
The growth rate graph 222 is a graph that specifies the transition of the growth rate with respect to age, and includes, for example, a curve or a plot that specifies the transition of the growth rate.

  The curves or plots that specify the transition of the growth rate include a reference growth rate curve group 31, an estimated growth rate curve 32, and a plot (a rectangular plot in the drawing) that specifies the growth rate of the child. The “reference growth rate curve group” 31 is a group of curves corresponding to the reference growth rate curve and the deviation growth rate curve, and the “estimated growth rate curve” 32 is a child growth rate curve. It is a curve estimated to be. Further, in the growth rate graph 222, the “growth rate determination threshold straight line” is illustrated from the left side to the right side of the drawing when the growth rate is between “2” and “6”. This “growth speed determination threshold straight line” is used for the same purpose as the above-described growth speed determination threshold curve, and is shown by a dashed line in FIG.

(Processing-plot area output processing-plot area-obesity degree graph)
The obesity degree graph 223 is a graph that specifies the transition of the obesity degree with respect to the age, and includes, for example, a lot (a rectangular plot in the drawing) that specifies the transition of the obesity degree and a “obesity degree determination threshold line”. . The “obesity degree determination threshold straight line” is used for the same purpose as the above-described growth rate determination threshold curve, and is indicated by a dashed line in FIG.

(Processing-plot area output processing-specific processing)
Next, a specific process of the plot area output process will be described. First, the control unit 15 refers to the body measurement information in FIG. 2 and acquires information corresponding to the child specified by the predetermined operation received at the time of activation. Next, the control unit 15 acquires height information and weight information from the acquired information, and displays a plot corresponding to the acquired height information and weight information on the height-weight graph 221 in FIG. 5. Further, the control unit 15 calculates the growth rate and the obesity degree at each age based on the acquired height information and weight information in the same manner as in the above-described “index value area output processing”, and calculates the calculated growth rate. The speed is plotted on the growth rate graph 222 of FIG. 5, and the calculated degree of obesity is plotted on the obesity degree graph 223 of FIG.

  The method of displaying information other than plots in each graph is arbitrary. For example, information other than the estimated growth rate curve 32 of the growth rate graph 222 is based on the above-described reference physical information (for example, the reference growth rate curve, the deviation). Growth rate curve, coordinate values of age and growth rate, reference height curve, deviation height curve, reference weight curve, and information specifying the deviation weight curve), and information specifying each threshold (for example, height determination threshold curve, It is assumed that the growth rate determination threshold straight line and the information specifying the obesity degree determination threshold straight line) are recorded as part of the reference information in the reference information DB 142 of FIG. This is displayed on the height and weight graph 221 in FIG. A method for displaying the estimated growth rate curve 32 of the growth rate graph 222 will be described later.

(Processing-judgment support area output processing)
Next, the judgment support area output processing will be described. The “judgment support area output process” is a part of the judgment support screen output process, and is, for example, a process of generating and outputting information of the judgment support area 23 in FIG.

(Processing-judgment support area output processing-judgment support area)
First, the judgment support area 23 will be described. FIG. 6 is a diagram showing the judgment support area of FIG. As shown in FIG. 6, the judgment support area 23 is an area displaying information necessary for the judgment on the child's development state. Specifically, each of the predetermined items and the information on each of the predetermined items are displayed. (As an example, an area for displaying information for specifying a determination result (evaluation result) of whether or not there is a possibility of an abnormal growth state or information serving as a basis for the determination (evaluation)). For example, it includes a height-related area 231 for displaying height-related information and a weight-related area 232 for displaying weight-related information.

  FIG. 7 is a diagram for explaining information and the like of the determination support area. FIG. 7 describes, for each item in the determination support area 23 of FIG. 6, a parameter processed by the control unit 15, a determination logic for the parameter, and the like. It is assumed that the program is recorded in the internal memory of the control unit 15 and mounted. Specifically, regarding FIG. 7, the item “judgment support item”, the item “number”, the item “parameter”, the item “calculation formula”, and the item “logic” are associated with the information corresponding to each item. Have been. Information corresponding to the item “judgment support item” (for example, “height” of “last data” of “input error”) is information corresponding to the name of each item in FIG. 6 (for example, the item of FIG. 6). Information corresponding to the item "most recent" of "height input error"). The information corresponding to the item “number” is illustrated for convenience of explanation in order to specify information corresponding to the item “parameter”. The information corresponding to the item “parameter” is information for specifying a parameter used in the judgment support area output processing (for example, “the latest difference (height)”). The information corresponding to the item "calculation formula" is the definition of the information corresponding to the item "parameter" or information for specifying the formula for calculating the information (the latest measurement value (height)-measurement of one time before) Value (height)). The information corresponding to the item “logic” is information that specifies a determination logic for determining the information corresponding to the item “parameter” (for example, when applicable, a condition for determining the possibility of abnormality, "The latest difference (height) ≤ -1 cm or 5 cm ≤ the latest difference (height)").

(Processing-judgment support area output processing-specific processing)
Next, specific processing of the judgment support area output processing will be described. First, the control unit 15 refers to the body measurement information in FIG. 2 and acquires information corresponding to the child specified by the predetermined operation received at the time of activation. Next, the control unit 15 performs a process corresponding to each item in FIG. 6 based on the logic and the like in FIG. 7 recorded in its own internal memory in the acquired information, and It is displayed in the part corresponding to each item.

  Here, for example, for the information corresponding to the item “nearest” of the item “height input error” in FIG. 6, “latest difference (height)” corresponding to the item “number” = “1” in FIG. , Calculated based on the calculation formula of the item “calculation formula”, determines whether the calculated “latest difference (height)” satisfies the condition of the item “logic”, and determines that the condition is true When it is determined that there is a possibility of an abnormality, a circle corresponding to the item “nearest” of the item “height input error” in FIG. Then, after it is determined that there is no possibility of abnormality, the portion corresponding to the item “nearest” of the item “height input error” in FIG. 6 is not displayed (no circle is added).

  For information corresponding to the item “past” of the item “height input error” in FIG. 6, for example, a parameter corresponding to the item “number” = “3” in FIG. 7 is calculated, and the item “height input” is calculated. The same processing is performed as in the case of the information corresponding to the item “missing” of “miss”.

  Further, for example, as for the information corresponding to the item “growth disorder” in FIG. 6, information corresponding to the item “growth disorder” above the drawing in the risk evaluation area 24 in FIG. In the case of, it is determined that there is a possibility of abnormality, then "suspicious" is displayed, and if the information is less than "2", it is determined that it is normal, and " -”Is displayed.

  Also, for example, for information corresponding to the item “estimated age”, the item “individual difference?”, And the item “early onset?” Of the item “puberty” in FIG. 6, first, the date of birth information in FIG. , It is determined whether the child is a fifth or sixth grader, a second to fourth grader, or a first grader. Next, when it is determined that the student is in the fifth grade or the sixth grade, the estimated start age-related processing is started. When it is determined that the student is in the second to fourth grade, the item “number” = “7” in FIG. Is calculated, and the same processing is performed as in the case of the information corresponding to the item “nearest” of the item “height input error” (in this case, the item “estimated start age” and the item “individual difference ??), and if it is determined that the subject is a first-year student, the growth rate cannot be calculated, and the information corresponding to each item of the item "puberty" is not displayed. . Note that the estimated start age-related processing will be described later.

  Further, for example, the information corresponding to the item “nearest” and the item “past” of the item “height growth” in FIG. 6, the item “decrease in consultation required” and the item “short height in consultation required” in FIG. The parameter corresponding to the item “number” = “8” to “11” is calculated, and the same processing as that for the information corresponding to the item “nearest” of the item “height input error” is performed.

  Also, for example, regarding the information corresponding to the item “most recent” and the item “past” of the item “weight input error” in FIG. 6, the parameters corresponding to the items “number” = “2” and “4” in FIG. Is calculated, and the same processing as in the case of the information corresponding to the item “nearest” of the item “height input error” is performed.

  Further, for example, as for the information corresponding to the item “obesity” in FIG. 6, information corresponding to the item “obesity tendency” above the drawing in the risk evaluation area 24 in FIG. The same processing as that for the information to be performed is performed.

  Also, for example, corresponding to the item “high obesity requiring consultation”, the item “symptomatic obesity”, the item “continuous obesity tendency”, the item “recovery from slimming”, and the item “increase near the standard” in FIG. For the information to be performed, the items “number” in FIG. 7 = “12” to “14”, “15” to “18”, “19” to “20”, “21” to “23”, “24” to “24” 26, and performs the same processing as that for the information corresponding to the item “nearest” of the item “height input error”.

  Further, for example, as for the information corresponding to the item “slimming” in FIG. 6, information corresponding to the item “slimming tendency” above the drawing in the risk evaluation area 24 in FIG. The same processing as in the case of information is performed.

  Also, for example, information corresponding to the item “alertness requiring consultation”, the item “continuous leaning tendency”, the item “recovery from obesity”, and the item “reduction near the standard” in FIG. Of the item "number" = "27" to "29", "30" to "31", "32" to "34", "35" to "37", and input the item "height" The same processing is performed as in the case of the information corresponding to the item “missing” of “miss”.

(Processing-Risk evaluation area output processing)
Next, the risk evaluation area output processing will be described. The “risk evaluation area output processing” is a part of the judgment support screen output processing, and is, for example, processing for generating and outputting information of the risk evaluation area 24 in FIG.

(Processing-Risk evaluation area output processing-Risk evaluation area)
First, the risk evaluation area output processing will be described. FIG. 8 is a diagram showing the risk evaluation area of FIG. As shown in FIG. 8, the risk evaluation area 24 is an area for displaying information relating to the risk of the child's development, and specifically, predetermined items and information relating to the respective items are displayed. And includes, for example, a detailed information related area 241 for displaying detailed information on risk and a general information related area 242 for displaying comprehensive information on risk.

(Processing-Risk evaluation area output processing-Risk evaluation area-Detailed information related area)
In the detailed information related area 241, the item “physical findings”, the item “risk item”, the item “measurement item”, the item “measurement value”, and the item “risk level” are associated with information corresponding to each item. Is displayed. The information corresponding to the item “physical findings” is predetermined information, and is information indicating a classification of information corresponding to the item “measurement value”. The information corresponding to the item “risk item” is predetermined information, and is information that displays a growth risk that can be grasped from the information corresponding to the item “measurement value”. The information corresponding to the item “measurement item” is predetermined information, and is information that defines information corresponding to the item “measurement value”. The information corresponding to the item “measurement value” is information calculated by the control unit 15. The information corresponding to the item “Rix level” is information that specifies the level of the risk related to growth, and is information determined by the control unit 15.

(Processing-Risk evaluation area output processing-Risk evaluation area-Detailed information related area)
In the general information related area 242, the item “growth disorder”, the item “obesity tendency”, the item “slimming tendency”, the item “body type evaluation value”, and the item “overall judgment” correspond to information corresponding to each item. It is attached and displayed. The information corresponding to the item “growth disorder” is information that specifies the level of the risk of the growth disorder, and is, for example, “0” to “3” (the larger the numerical value, the higher the degree of the risk). Is four-step numerical information. The information corresponding to the item “obesity tendency” is information for specifying the degree of the risk of the obesity tendency, and is, for example, four-stage numerical information similar to the information corresponding to the item “growth disorder”. The information corresponding to the item “slimming tendency” is information for specifying the degree of the risk of the slimming tendency, and is, for example, four-stage numerical information similar to the information corresponding to the item “slimming tendency”. The information corresponding to the item “physical evaluation value” is information for specifying the evaluation of the physical shape. For example, an arbitrary operation related to information corresponding to the item “growth disorder”, the item “obesity tendency”, and the item “slimming tendency” (As an example, it is information for specifying the result of (growth disorder + 2) × (numerical value of obesity tendency or slimming tendency + 1)). The information corresponding to the item “Comprehensive judgment” is information that specifies the result of the comprehensive judgment on the child's development, and includes, for example, “Need medical care”, “Analysis required”, “Needs attention”, or “Problem” This information corresponds to any one of "none".

  The “medical care required” is, for example, information that specifies that it is necessary to medically determine whether to consult a medical institution. The “analysis required” is, for example, information that specifies that there is no need to medically judge whether to consult a medical institution or not, and that it is necessary to continue to carefully monitor the patient. “Needs attention” is, for example, information that specifies that there is no need to medically determine whether to consult a medical institution or not, and that it is necessary to continue follow-up observation. “Needs attention” is information that specifies that, for example, there is no problem with growth, and that follow-up observation is sufficient.

(Processing-Risk evaluation area output process-Specific process)
Next, a specific process of the risk evaluation area output process will be described. The logic for obtaining information corresponding to the item “calculated value”, the item “risk level” in the detailed information related area 241 and the information in the comprehensive information related area 242 in FIG. And implemented. First, the control unit 15 refers to the body measurement information in FIG. 2 and acquires information corresponding to the child specified by the predetermined operation received at the time of activation. Next, the control unit 15 calculates information corresponding to the item “calculated value” in the detailed information related area 241 in FIG. 8 based on the logic recorded in the internal memory of the obtained information, Information corresponding to the item “risk level” is determined based on the calculated information, and information corresponding to each item in the comprehensive information related area 242 (information other than the information corresponding to the item “general determination”) is determined based on the determined information. ) Is determined, and information corresponding to the item “general determination” is determined (determined) based on the determined information. Then, for example, each information is displayed as shown in FIG.

  The control unit 15 displays the result of this determination also as the information corresponding to the item “overall determination history” in FIG. 4 described above. For example, the information corresponding to the item “overall determination history” in FIG. May be used to record past judgment results and display the recorded information in order to display as a history for each grade, or to correspond to the above item “overall judgment” in FIG. 8 for each grade. The process for obtaining the information to be performed may be repeatedly performed and displayed.

(Processing-judgment result input area output processing)
Next, the determination result input area output processing will be described. The “judgment result input area output process” is a part of the judgment support screen output process, and is, for example, a process of generating and outputting information of the judgment result input area 25 in FIG.

(Processing-Judgment result input area output process-Judgment result input area)
First, the determination result input area 25 will be described. As shown in FIG. 3, the determination result input area 25 is an area for inputting and displaying the result of the doctor's determination on the child's growth state, for example, an input field corresponding to the item “input error determination”, an item An input field corresponding to “checkup”, an input field corresponding to the item “comment”, a display field corresponding to the item “completion check”, and a forward button (“Enter the determination result and next” are displayed. Button) and a check button (a button displayed as “check”).

  The input field corresponding to the item "input error determination" is a part for inputting information for determining whether there is a measurement or input error for the body measurement information. For example, the input field is When the button is clicked, "missing" and "no mistake" are displayed as input candidates, and any of the information can be selected and input, and the input information is displayed.

  The input field corresponding to the item "judgment determination" is a part for inputting the result of a medical judgment as to whether or not to consult a medical institution. For example, when the input field is clicked via the operation unit 12 In addition, as candidates to input, "Needs consultation (duplicate)", "Needs consultation (growth disorder)", "Needs consultation (obesity)", "Needs consultation (slimming)", "Follow-up", and "No problem" This is a portion where any of the information is displayed and can be selected and input, and the input information is displayed. The input column corresponding to the item “comment column” is a portion where arbitrary information is freely input via the operation unit 12 and the input information is displayed. The display column corresponding to the item “completion check” is a column for displaying the number of remaining children to be evaluated. With regard to the “feed button”, when clicked through the operation unit 12, the information input in each input field is recorded, and various processes (the various processes described above) for the next child are performed. Button. The “check button” is a button for displaying the number of remaining children to be evaluated when clicked via the operation unit 12.

(Processing-determination result input area output processing-specific processing)
Next, specific processing of the judgment result input area output processing will be described. For example, when the control unit 15 receives a click on the input field corresponding to the item “input error determination”, it displays “missed” and “no error”, and receives a selection of any of the displayed information. The received information is input and displayed. The control unit 15 performs the same processing when, for example, receiving a click on the input field corresponding to the item “diagnosis check”. Further, for example, when a click of the forward button is received, the control unit 15 acquires the information input in each of the above-described input fields, and records the acquired information in the recording unit 14. The recording format here is arbitrary, but for example, it may be recorded in association with the body measurement information in FIG. Further, for example, when a click of the check button is received, the control unit 15 calculates the number of children who have not been evaluated with reference to the body measurement information of FIG. "In the display column corresponding to". "

(Processing-estimated age-related process)
Next, the estimated start age-related processing will be described. FIG. 9 is a flowchart of the estimated start age-related processing (steps are abbreviated as “S” in the following description of each processing). "Estimated start age-related processing" is processing for estimating the estimated start age and then evaluating the growth state of the child. The timing of executing the “estimated start estimated age-related process” is arbitrary. For example, after the control unit 15 receives a predetermined operation via the operation unit 12, the control unit 15 refers to the date of birth information in FIG. Assuming that the child specified by the predetermined operation (hereinafter, also referred to as “target child”) is a fifth-year or sixth-grade student, the estimated start-related process is started and executed as being started and executed. It will be explained from the beginning.

  In particular, as described above, at least information for specifying the reference growth rate curve (hereinafter, also referred to as “reference growth rate curve specification information”) and ± 1 SD based on the peak value (maximum value) of the reference growth rate curve. , The information (hereinafter, also referred to as “peak value specifying information”) that specifies each peak value (coordinate values of the age and the growth rate) of the growth rate curve of the age of ± 2SD is the reference information of the reference information DB 142 in FIG. It will be described as being recorded as. In addition, it is assumed that two types of information, that is, information for boys and information for girls, are recorded.

  FIGS. 10 to 14 are graphs illustrating examples of growth rate curves. In particular, FIG. 10 is a diagram showing a reference growth rate curve and a peak value, FIG. 11 is a diagram showing a state where peak values are interpolated, and FIG. FIG. 13 is a diagram showing a candidate growth speed curve and a growth speed of a target child, and FIG. 14 is a diagram showing an estimated peak age and an estimated start age. Note that the “estimated peak age” is, for example, the age at which the growth rate of the target child is estimated to be the peak, and the “estimated start age” is the above-described estimation estimation information. Is the age at which the phenomenon that the growth rate of the target child begins to increase is estimated to occur.

  In SA1 of FIG. 9, the second acquisition unit 152 acquires candidate growth rate curve information. The “information for candidate growth rate curve” is information used to generate a candidate growth rate curve, and is, for example, information corresponding to the above-described reference growth rate curve identification information and peak value identification information. . The “candidate growth rate curve” is a curve that is a candidate for the above-described estimated growth rate curve, and is, for example, a plurality of curves. Although the SA1 is specifically arbitrary, for example, the gender information of the target child is specified by referring to the body measurement information of FIG. 2, and the gender information corresponding to the specified gender information is referred to by referring to the reference information DB 142 of FIG. To obtain reference growth rate curve specifying information and peak value specifying information.

  Here, for example, “sex information” = “male” is specified for the target child of “AA AA” in FIG. 2, and the reference growth rate curve specifying information ( The information for specifying the reference growth rate curve in FIG. 10) and the peak value specifying information (information for specifying the peak value in FIG. 10) are obtained.

  In SA2 of FIG. 9, the generating unit 153 generates a candidate growth rate curve (second physical information). Specifically, for example, based on the reference growth rate curve specifying information (reference physical information) and the peak value specifying information (reference physical information) acquired in SA1, the reference growth rate curve and the reference growth rate curve are obtained. The peak values of the growth rate curves of the age of ± 1SD and ± 2SD based on the peak value of are generated, and the generated peak values (including the peak value of the reference growth rate curve) are mutually interpolated by an arbitrary interpolation method (for example, , Linear interpolation). Next, paying attention to the age of the generated peak value, the peak value with the lowest age and the peak value with the highest age are specified, and a predetermined age interval (for example, 0.25 Age), and the generated reference growth rate curve is shifted for each of the calculated ages along the above-described interpolated peak value with reference to the peak value of the reference growth rate curve. The adjusted reference growth rate curve (including the reference growth rate curve before shifting) is set as a candidate growth rate curve.

  Here, for example, the reference growth rate curve and each peak value in FIG. 10 are generated based on the reference growth rate curve specification information and the peak value specification information acquired in SA1, and the generated peak value (the peak of the reference growth rate curve) is generated. (Including values) are interpolated with each other by an arbitrary interpolation method (for example, linear interpolation) as shown by a broken line in FIG. Next, focusing on the age of the generated peak value, the peak value with the lowest age (for example, the peak value corresponding to 9 years old) and the peak value with the highest age (for example, the peak value corresponding to 14.75 years old) ) Is calculated, the age at a predetermined age interval (for example, 0.25 years) is calculated between the ages of the specified peak values, and the generated reference growth rate curve is converted to the peak value of the reference growth rate curve. As a reference, the shifted reference growth rate curve (including the reference growth rate curve before the shift) is shifted to the candidate growth rate as shown in FIG. The speed curve is used. Actually, four or more candidate growth rate curves are generated, but FIG. 12 and the like show only a part for convenience of explanation.

  In SA3 of FIG. 9, the first acquisition unit 151 acquires the growth speed (first physical information) of the target child. Specifically, for example, the height information of the target child is specified with reference to the body measurement information in FIG. 2, and the growth speed of the target child is calculated based on the specified height information. Get the growth rate. The method of calculating the growth rate here is arbitrary. For example, in the same manner as when displaying the portion corresponding to the item “growth rate (growth for one year)” in FIG. A method of calculating the growth rate of the height in one year as the growth rate with reference to the obtained height information will be used.

  Here, for example, referring to the body measurement information in FIG. 2, as the height information of the target child, “104.4” of “1st semester”, “108.3”, “18.3” of “1st semester” “110.8” for “3rd semester” and “111.2” for “2nd semester” are specified, and based on the specified height information, the growth rate of the target child is set to “2nd 1st semester”. "6.8" (difference between "111.2" and "104.4") and the like are calculated, and the calculated growth speed is obtained (actually, the growth speed after "two years and two semesters") Is also calculated and obtained).

  In SA4 of FIG. 9, the control unit 15 selects a candidate growth rate curve. More specifically, for example, the second acquiring unit 152 acquires a plurality of candidate growth rate curves generated in SA2, and the estimating unit 154 acquires the plurality of candidate growth curves acquired by the second acquiring unit 152. By comparing the growth curve of the target child obtained in SA3 with the growth curve of the target child, one candidate growth speed curve that best matches the growth speed obtained in SA3 among the plurality of candidate growth speed curves is specified. Then, one identified candidate growth rate curve is selected. The method of identifying one candidate growth rate curve that best matches (that is, is closest) is arbitrary, but for example, a method corresponding to a so-called least square sum is used. In this case, a method of specifying based on the difference between each of the plurality of candidate growth speed curves and the growth speed of the target child is used.

  More specifically, a method of specifying one candidate growth rate curve first acquires one candidate growth rate curve from the plurality of candidate growth rate curves generated in SA2. Next, one growth rate (hereinafter, “target child side growth rate”) is obtained from the target child growth rate obtained in SA3, and the age (month age) of the obtained “target child side growth rate” is specified. In the obtained one candidate growth rate curve, a growth rate corresponding to the specified age (hereinafter, “candidate growth rate”) is specified, and the specified “candidate growth rate” and “target child side” are specified. The difference from the “growth rate” is calculated, and the calculated difference is squared (hereinafter, “process for calculating the situation of the difference”). Note that the age (month age) of the “target child-side growth rate” may be specified using the method described in the processing of the portion corresponding to the item “age” in FIG. Next, this “process of calculating the circumstances of the difference” is performed for all of the growth speeds of the target child acquired in SA3, whereby a plurality of “squares of the difference” (for the number of growth speeds of the target child) ) Calculate and calculate the total value of the plurality of “values obtained by squaring the difference” (hereinafter, “process of calculating the total value”). Then, for all of the plurality of candidate growth rate curves generated in SA2, the “process of calculating the circumstances of the difference” and the “process of calculating the total value” are performed, whereby the total value of each of the plurality of candidate growth speed curves is calculated. The candidate growth rate curve that has been calculated and whose calculated total value is minimum is specified. Here, the case where the method corresponding to the least square sum is used is illustrated, but the present invention is not limited to this, and one candidate growth rate curve is identified using another method including a known approximation method or a matching method. You may.

  Here, for example, the plurality of candidate growth speed curves (solid line and broken line curve) of FIG. 13 generated in SA2 and the growth speed of the target child acquired in SA3 are compared, and among the plurality of candidate growth speed curves, The candidate growth rate curve indicated by the solid line in FIG. 13 is specified as one candidate growth rate curve that best matches the growth rate obtained in SA3, and the specified candidate growth rate curve is selected.

  In SA5 of FIG. 9, the estimating unit 154 estimates the estimated start age. Specifically, for example, the age of the peak value of the candidate growth rate curve selected in SA4 is specified as the estimated peak age, and the estimated start age is estimated based on the specified estimated peak age. The method of estimating the estimated start age here is arbitrary. For example, the age obtained by subtracting a predetermined age (for example, “3 years old” for boys and “2 years old” for girls) from the peak estimated age is used. Estimate as estimated start age.

  Here, for example, “13.75 years” which is the age of the peak value of the candidate growth rate curve of FIG. 14 (corresponding to the solid growth curve of FIG. 13) selected in SA4 is specified as the peak estimated age, The estimated start age is estimated based on the specified peak estimated age. As described above, since the target child is a boy, the calculation of “13.75” − “3” is performed, and “10.75” is estimated as the estimated start age.

  In SA6 of FIG. 9, the evaluation unit 155 evaluates the growth state of the target child. Specifically, for example, it is determined that a determination threshold (threshold) based on an academic paper or a doctor's experience is recorded as a part of the reference information in the reference information DB 142 in FIG. A threshold is obtained, an estimated start age estimated in SA5 is obtained, the obtained determination threshold is compared with the estimated start age, and evaluation is performed based on the comparison result. The “judgment threshold” is information serving as a reference for evaluating the developmental state of the target child, and for example, evaluates (determines) whether there is a possibility of so-called precocious puberty (abnormality). As an example, "9 years old" is set as a judging threshold for boys, and "7.5 years old" is set as a judging threshold for girls. And, if the estimated start age is less than the judgment threshold, it is evaluated that there is a possibility of precocious puberty, while if the estimated start age is equal to or greater than the judgment threshold, there is no possibility of premature puberty, Evaluate as individual differences.

  Here, for example, “9 years old”, which is the determination threshold for boys, is obtained, and “10.75 years”, which is the estimated start age estimated in SA5, is obtained, and “10.75”, which is the estimated start age. When the “year” is equal to or greater than the determination threshold “9 years”, there is no possibility of premature puberty, and it is evaluated as an individual difference.

  In SA7 of FIG. 9, the output unit 156 outputs the evaluation result. More specifically, for example, the evaluation result in SA6 is acquired, and the acquired evaluation result is referred to as the item “individual difference?” In the item “puberty” in the height-related area 231 in FIG. Output early on? Specifically, when it is evaluated in SA6 that there is a possibility of premature puberty, the part corresponding to the item “individual difference?” Is not displayed, and the part corresponding to the item “early onset?” Is circled. A mark is output to indicate that there is a possibility of premature puberty. On the other hand, in SA6, there is no possibility of premature puberty and it is evaluated that there is an individual difference. "Is marked with a circle and the part corresponding to the item" Premature onset? "Is hidden, indicating that there is no possibility of premature puberty and that this is an individual difference. I do. As a basis for this evaluation, the estimated start age estimated in SA5 is obtained, and the obtained estimated start age is used as a part corresponding to the item "estimated start age" of the item "puberty" of the height-related area 231 in FIG. Display output. In this case, in the growth rate graph 222 in FIG. 5, the growth rate obtained in SA3 is plotted, the candidate growth rate curve selected in SA4 is displayed as the estimated growth rate curve 32, and the reference information DB 142 in FIG. The growth rate graph 222 is displayed by performing processing such as displaying the reference growth rate curve and the deviation growth rate curve recorded as the reference information as the reference growth rate curve group 31.

  Here, for example, in SA6, the target child is evaluated as having an individual difference without the possibility of premature puberty, and the estimated starting age is “10.75”. Display and output as shown in the part corresponding to “puberty”. This ends the estimated start age-related processing.

(Effects of Embodiment)
As described above, according to the present embodiment, by estimating the growth state of the target child based on the estimated start age, which is estimation estimation information used to evaluate the growth state of the target child, for example, It is possible to quickly and objectively evaluate a child's development state.

  Further, by selecting one candidate growth rate curve from the plurality of candidate growth rate curves and estimating the estimated start age based on the selected one candidate growth rate curve, for example, the candidate growth rate curve , The estimated start age can be estimated, so that the estimation accuracy of the estimated start age can be improved, and the evaluation accuracy of the growth state of the target child can be improved.

  In addition, by selecting one candidate growth rate curve from a plurality of candidate growth rate curves based on the difference between the growth rate of the target child and the candidate growth rate curve, for example, a relatively simple method of finding the difference is used. By performing the appropriate processing, the candidate growth rate curve can be selected, so that the development state of the target child can be quickly evaluated.

  Further, by generating the candidate growth rate curve, for example, the candidate growth rate curve can be used in a situation other than the situation where all the candidate growth rate curves exist, so that the subject's body state in various situations Can be evaluated, and versatility can be improved.

  Also, by estimating the age at which the phenomenon in which the growth rate of the target child begins to increase to occur as the estimated start age, for example, useful and characteristic information for evaluating the state of the subject (for example, developmental state) is obtained. Since the evaluation can be performed using the evaluation information, it is possible to improve the evaluation accuracy of the growth state of the target child.

  Also, by performing a comparatively simple process of comparing the estimated start age with the determination threshold by comparing the estimated start age with the determination threshold and evaluating the development state of the target child based on the comparison result, for example. Thus, the growth state of the target child can be evaluated, so that the development state of the target child can be quickly evaluated.

[Modification to Embodiment]
As described above, the embodiment according to the present invention has been described. However, the specific configuration and means of the present invention may be arbitrarily modified and improved within the technical idea of each invention described in the claims. Can be. Hereinafter, such modified examples will be described.

(About problems to be solved and effects of the 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 implementation environment and details of the configuration of the invention. May be solved, or only a part of the effects described above may be achieved.

(About distribution and integration)
Further, the above-described configuration is conceptual in function, and does not necessarily need to be physically configured as illustrated. That is, the specific form of distribution and integration of each unit is not limited to the illustrated one, and all or a part thereof can be functionally or physically distributed or integrated in arbitrary units. The “system” in the present application is not limited to a system configured by a plurality of devices, but includes a system configured by a single device. The “device” in the present application is not limited to a device configured by a single device, but includes a device configured by a plurality of devices. Further, the data structure and recording destination of the recorded information may be arbitrarily changed.

(About the evaluation of the growth state)
Further, in the above embodiment, the case of evaluating whether there is a possibility of premature puberty or the individual difference in SA6 of FIG. 9 has been described, but the present invention is not limited to this. For example, in addition to or instead of these, it may be evaluated whether there is a possibility of late puberty. Although a specific method in this case is arbitrary, for example, a determination threshold for late puberty as a reference for evaluating late puberty is provided, and this determination threshold is compared with the estimated start age and the determination threshold. Then, if the estimated start age is less than the determination threshold, it is evaluated that it is not late puberty, while if the estimated start age is more than the determination threshold, it may be evaluated that it is late puberty .

  Further, for example, the growth state may be evaluated using the estimated peak age. In this case, the estimated peak age corresponds to the “estimated estimation information”. In this case, the threshold may be set arbitrarily, the threshold may be compared with the estimated peak age, and the growth state may be evaluated based on the comparison result. In such a configuration, by estimating the age at which the growth rate reaches a peak as estimation estimation information, for example, information useful and characteristic for evaluating the state of the target child (for example, the state of development) is used. Therefore, it is possible to improve the evaluation accuracy of the growth state of the target child.

(About candidate growth rate curve)
Further, in the above-described embodiment, the case where the candidate growth rate curve is generated in SA2 of FIG. 9 has been described. For example, a plurality of candidate growth rate curves may be recorded in advance, and the recorded candidate growth rate curve may be selected in SA4, that is, SA2 may be omitted.

(About application of estimated start age-related processing)
Further, in the above embodiment, the case where the estimated start age-related processing is applied only to the fifth and sixth grade children has been exemplified. However, the present invention is not limited to this. Estimated age-related processing may be applied.

(About screening)
The estimated start age-related processing of the above embodiment may be applied only to the screened children. That is, for example, paying attention to the information corresponding to the item “overall judgment” in FIG. 8, “medical management required”, “analysis required”, “caution required”, or “no problem” is The estimated start age-related processing may be applied only to the child corresponding to.

(About estimated start age)
Further, in the above embodiment, the case where the estimated start age is estimated by selecting the candidate growth rate curve is exemplified, but the present invention is not limited to this. For example, without using the candidate growth rate curve, the estimated start age may be estimated by an arbitrary method from the growth rate of the child. In this case, for example, with respect to the growth rate that changes with age, the age at which the growth rate has increased from the previous growth rate is the tentative start estimated age. If the growth rate immediately after this is further increased, the above-described tentative start estimation is performed. The age may be estimated as the estimated start age. This technique may be applied to the case of estimating the estimated peak age. That is, for example, the age at which the growth rate has changed from increasing to decreasing may be used as the tentative peak estimated age, and when the growth rate immediately after this decreases further, the aforementioned tentative peak estimated age may be used as the peak estimated age.

(About features)
Further, the features of the embodiment and the features of the modified examples may be arbitrarily combined.

(Note)
The evaluation system according to Supplementary Note 1 is an evaluation system that evaluates a state of the subject, a first acquisition unit that acquires first physical information that is time-related information on a physical state of the subject, and the first acquisition unit that acquires the first physical information. Estimating means for estimating estimation estimating information used for evaluating the physical condition of the subject based on the first physical information acquired by the acquiring means; and estimating information for evaluation estimated by the estimating means Evaluation means for evaluating the state of the subject based on the condition, and state output means for outputting the state of the subject evaluated by the evaluation means.

  The evaluation system according to Supplementary Note 2, wherein in the evaluation system according to Supplementary Note 1, the second physical information is second physical information that is a reference for estimating the estimation estimation information, and is temporal information regarding a physical state. A plurality of second physical information obtained by the first obtaining means, and a plurality of the second physical information obtained by the second obtaining means. Then, one of the plurality of second physical information is selected, and the estimation estimation information is estimated based on the selected one of the second physical information.

  The evaluation system according to Supplementary Note 3, wherein in the evaluation system according to Supplementary Note 2, the estimation unit includes the first body information acquired by the first acquisition unit and the plurality of second bodies acquired by the second acquisition unit. One of the plurality of second physical information is selected based on a difference from the information.

  The evaluation system according to Supplementary Note 4 is the evaluation system according to Supplementary Note 2 or 3, further including a generation unit configured to generate the second physical information based on the reference physical information, wherein the second acquisition unit includes: The generated second physical information is acquired.

  The evaluation system according to Supplementary Note 5, wherein in the evaluation system according to any one of Supplementary Notes 1 to 4, the first acquisition unit acquires information that specifies a growth rate for the age of the subject as the first physical information. Then, the estimating means estimates the age at which the growth rate of the subject reaches a peak as the estimation estimation information.

  The evaluation system according to Supplementary Note 6, wherein in the evaluation system according to any one of Supplementary Notes 1 to 4, the first acquisition unit acquires information that specifies a growth rate for the age of the subject as the first physical information. Then, the estimation unit estimates, as the evaluation estimation information, a phenomenon in which the growth rate of the subject starts to increase, or an age at which the phenomenon occurs.

  The evaluation system according to Supplementary Note 7, wherein in the evaluation system according to any one of Supplementary Notes 1 to 6, the evaluation unit compares the estimation estimation information estimated by the estimation unit with a threshold, and based on the comparison result. Then, the state of the subject is evaluated.

  The evaluation program according to Supplementary Note 8 is an evaluation program that evaluates a condition of the subject, a first acquisition unit that acquires a computer to acquire first physical information that is time-related information on a physical condition of the subject. Estimating means for estimating estimation estimation information used for evaluating the physical condition of the subject based on the first physical information acquired by the first acquiring means; and the evaluation estimated by the estimating means. An evaluation unit that evaluates the state of the target person based on the use estimation information, and a state output unit that outputs the state of the target person evaluated by the evaluation unit.

(Effect of additional notes)
According to the evaluation system described in Supplementary Note 1, by evaluating the state of the subject based on the estimation estimation information used for evaluating the physical condition of the subject, for example, the evaluation of the state of the subject Can be performed quickly and objectively.

  According to the evaluation system described in Supplementary Note 2, one of the plurality of second physical information is selected, and the estimation estimation information is estimated based on the selected one of the second physical information. By doing so, for example, the estimation estimation information can be estimated based on the second physical information, so that the estimation accuracy of the estimation estimation information can be improved, and the evaluation accuracy of the subject's state can be improved. It becomes possible.

  According to the evaluation system described in Supplementary Note 3, by selecting one piece of second physical information from among the plurality of pieces of second physical information based on a difference between the first physical information and the second physical information, for example, Since the second physical information can be selected by performing a relatively simple process of calculating the difference, the state of the subject can be quickly evaluated.

  According to the evaluation system described in Supplementary Note 4, by generating the second physical information, for example, a situation other than a situation where all the second physical information exists (that is, a situation where the second physical information does not exist, or , The number of second physical information is relatively small, etc.), the physical condition of the subject can be evaluated in various situations, and the versatility can be improved. It becomes possible.

  According to the evaluation system described in Supplementary Note 5, by estimating the age at which the growth rate reaches a peak as the estimation estimation information, the evaluation system is useful and characteristic for, for example, evaluating the state of the subject (for example, the development state). Since the evaluation can be performed using appropriate information, the evaluation accuracy of the state of the subject can be improved.

  According to the evaluation system described in Supplementary Note 6, by estimating the phenomenon in which the growth rate of the subject starts to increase or the age at which the phenomenon occurs as estimation estimation information, for example, the state of the subject (for example, , Growth state), the evaluation can be performed using characteristic information useful for the evaluation of the subject, so that the evaluation accuracy of the state of the subject can be improved.

  According to the evaluation system described in Supplementary Note 7, for example, the estimation estimation information is compared with the threshold by comparing the estimation estimation information with the threshold and evaluating the state of the subject based on the comparison result. By performing the relatively simple process described above, the state of the target person can be evaluated, so that the evaluation of the state of the target person can be performed quickly.

  According to the evaluation program described in Supplementary Note 8, by evaluating the state of the subject based on estimation estimation information used for evaluating the physical condition of the subject, for example, the evaluation of the state of the subject Can be performed quickly and objectively.

Reference Signs List 11 Communication unit 12 Operation unit 13 Display unit 14 Recording unit 15 Control unit 21 Index value area 22 Plot area 23 Judgment support area 24 Risk evaluation area 25 Judgment result input area 31 Reference growth rate curve group 32 Estimated growth rate curve 100 Evaluation device 141 Body measurement information DB
142 Reference Information DB
151 first acquisition unit 152 second acquisition unit 153 generation unit 154 estimation unit 155 evaluation unit 156 output unit 211 time display field 212 name display field 213 information display field 221 height and weight graph 222 growth rate graph 223 obesity degree graph 231 height related area 232 Weight related area 241 Detailed information related area 242 Total information related area

Claims (8)

An evaluation system that evaluates a subject's condition,
A first acquisition unit configured to acquire first physical information that is temporal information on a physical state of the subject;
Estimating means for estimating estimation estimation information used for evaluating the physical condition of the subject based on the first physical information acquired by the first acquiring means,
Based on the estimation estimation information estimated by the estimation unit, an evaluation unit that evaluates the state of the subject,
State output means for outputting the state of the subject evaluated by the evaluation means,
An evaluation system comprising: A second acquisition unit configured to acquire a plurality of the second body information, which is a second body information serving as a criterion for estimating the estimation estimation information, which is time-related information on a body state;
The estimating means is configured to calculate, based on the first physical information acquired by the first acquiring means and the plurality of second physical information acquired by the second acquiring means, a plurality of second physical information Selecting one piece of the second physical information, and estimating the estimation estimation information based on the one piece of the selected second physical information;
The evaluation system according to claim 1. The estimating unit is configured to calculate a plurality of the second physical information based on a difference between the first physical information acquired by the first acquiring unit and the plurality of second physical information acquired by the second acquiring unit. Selecting one of the second physical information,
The evaluation system according to claim 2. Generating means for generating the second physical information based on reference physical information,
The second obtaining means obtains the second physical information generated by the generating means,
The evaluation system according to claim 2. The first acquisition means acquires information specifying a growth rate for the age of the subject as the first physical information,
The estimating means estimates the age at which the growth rate of the subject reaches a peak as the estimation estimation information,
The evaluation system according to claim 1. The first acquisition means acquires information specifying a growth rate for the age of the subject as the first physical information,
The estimation unit estimates the phenomenon in which the growth rate of the subject starts to increase, or the age at which the phenomenon occurs as the estimation estimation information,
The evaluation system according to claim 1. The evaluation unit compares the estimation estimation information estimated by the estimation unit with a threshold, and evaluates the state of the subject based on the comparison result.
The evaluation system according to claim 1. An evaluation program that evaluates the condition of the subject,
Computer
A first acquisition unit configured to acquire first physical information that is temporal information on a physical state of the subject;
Estimating means for estimating estimation estimation information used for evaluating the physical condition of the subject based on the first physical information acquired by the first acquiring means,
Based on the estimation estimation information estimated by the estimation unit, an evaluation unit that evaluates the state of the subject,
State output means for outputting the state of the subject evaluated by the evaluation means,
Evaluation program to function as

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