JP4931447B2 - Diagnosis and childcare support system - Google Patents

Description

  The present invention relates to a diagnosis and childcare support system that presents diagnosis and childcare methods especially for infants and young children with mental illness.

Recently, with the nuclear family and the collapse of the community, opportunities for mothers to obtain detailed knowledge about childcare have decreased, and mothers often have to work and have less time to interact with their children. For this reason, the number of infant abuse is increasing year by year, and it is thought that impulsive violence by adolescents is also increasing year by year. For this reason, a childcare support system has been proposed (Patent Document 1, Patent Document 2).
In recent years, more and more people have become nursery teachers with little experience with children. Furthermore, privatization of nursery schools has been encouraged, and the level of childcare in nurseries has become a problem, and the burden of nursery teachers per person has become a problem, and a childcare service support system has been proposed (Patent Document 3).
In the conventional childcare business, the focus was on linguistic communication. However, it is difficult to determine the growth status from the language spoken by the infant because the infant under 3 years old cannot sufficiently use the language.

However, early detection and treatment are necessary if there are mental illnesses such as mental retardation, reactive attachment disorder, autism, control disorder, and post-traumatic stress disorder in early childhood. However, it goes without saying that early detection and early treatment are necessary in the presence of these mental disorders. However, as mentioned above, mental retardation is often not detected early despite signs appearing around the age of 12 months, and even if a mental illness is discovered after the age of 3 when an infant learns a language, it is a fundamental countermeasure. It will be difficult to apply. For example, it is considered that symptoms of autism are completed and fixed by about 3 years old, and it is considered that the symptoms can be reduced relatively easily before fixing, but after 3 years of fixed age It is difficult to reduce this symptom (commonly, triplet souls up to 100).
For this reason, a voice analysis system (Patent Document 4) that analyzes the voice signal of an infant who cannot speak words and displays the cause of crying, and a childcare support system (Patent Document 5) that evaluates an appropriate childcare environment for infants are proposed. ing.
JP 2003-30422 A JP 2002-56112 A JP 2002-169933 A Japanese Patent No. 3564501 JP 2002-222262 A

However, as mentioned above, the conventional childcare support system for infants does not present a detailed childcare method that takes into account mental development and the individuality of the infants. It did not deal with mental illness that would be difficult to apply. In addition, it has been difficult for non-specialists such as parents to operate the system accurately over a wide range of items from the beginning of the checklist.
One of the factors is that it is difficult to objectively capture the mental state of the target infant and that the mother who should always be in contact with the target infant has anxiety about how to raise the child. Even if it is a doctor such as a practicing pediatrician, if it is not a specialized psychiatrist, it is the reality that it is difficult to identify a mental illness in a child's heart. Furthermore, it is difficult for parents and other parents who are in contact with infants and nursery school nurses to recognize mental illness. Because of these various causes, it is difficult to detect mental illness in infants at an early stage, and the childcare method for infants with mental illness for that reason is not known at all. In particular, delays in the treatment of autism are serious among mental illnesses, and early detection often makes it difficult to take fundamental measures such as relief or improvement.
The present invention has been made in view of the above-mentioned problems, and the problem is that parents and other parents, nursery school nurses, pediatricians, etc. can easily and easily diagnose infant heart diseases objectively and early. It is to provide a diagnosis and childcare support system for infants to discover and present childcare methods corresponding to the mental illness and support childcare.

In order to solve the above problem, the invention of claim 1 is a diagnosis and childcare support system comprising a diagnosis childcare information generating means connected to a terminal device via an information communication network.
The diagnosis and childcare support system includes a database for storing various tables such as diagnosis results and childcare methods,
The target age ID is acquired from the database by the infant ID transmitted from the terminal device, the checklist ID is acquired using the target age ID, and the checklist question item is generated using the checklist ID. Check list generation means for outputting to the terminal device;
The determination group ID is acquired from the database by the check list response transmitted from the terminal device, the determination pattern for determining the check list is selected by the determination group ID, and the diagnosis result from the database by the selected determination pattern Obtaining an ID and a result flag, obtaining the next checklist ID from the database by the diagnosis result ID and the result flag, deriving the next checklist, and after inputting all the diagnostic result IDs, A diagnosis and childcare support system, comprising: a diagnosis childcare information generating unit including a disease diagnosis unit that acquires a diagnosis result of a complication of mental retardation from a data table.

  According to a second aspect of the present invention, in the diagnosis and childcare support system according to the first aspect, the checklist generated by the checklist generation means is a mental retardation, reactive attachment disorder, autism, or trauma from the database. A diagnosis and childcare support system characterized by acquiring and generating a checklist ID related to post-stress disorder and control disorder.

  The invention of claim 3 is the diagnosis and childcare support system according to claim 1 and claim 2, wherein the checklist generation means relates to mental retardation, reactive attachment disorder, autism, post-traumatic stress disorder For at least one of the checklists, obtain disease type IDs for finding signs of each disorder from the database, and if a disease type ID corresponding to the signs is entered, a more detailed checklist for confirmation It is the diagnosis and childcare support system characterized by producing | generating.

  According to a fourth aspect of the present invention, in the diagnosis and childcare support system according to the first to third aspects, the next checklist deriving means is output from the flow definition table based on the result flag output from the determination pattern. When the next checklist ID is finished, the checklist generation means finishes generating the checklist, and the diagnosis and childcare support system is characterized.

  According to a fifth aspect of the present invention, in the diagnosis and childcare support system according to the first or fourth aspect, the checklist generation means obtains a checklist ID from the database, and first creates a checklist regarding mental retardation. A diagnostic and childcare support system characterized by generating.

  According to a sixth aspect of the present invention, in the diagnosis and childcare support system according to the first or fifth aspect, the checklist generation means obtains a checklist ID from the database and continues to the mental retardation checklist. A diagnosis and childcare support system, characterized in that it is generated in the order of a checklist for reactive attachment disorder or autism.

  According to a seventh aspect of the present invention, in the diagnosis and childcare support system according to the first to sixth aspects, the checklist generation means obtains a checklist ID from the database, and finally obtains a checklist regarding the control disorder. A diagnostic and childcare support system characterized by generating.

  The invention according to claim 8 is the diagnosis and childcare support system according to claim 1 or 7, wherein an answer digitizing means is provided for processing of the checklist answer transmitted from the terminal device, and the answer digitizing means The diagnosis and childcare support system is characterized by acquiring weighted option values from the database.

The configuration of each of the above inventions can present a diagnosis and childcare method of mental illness for infants and the like, which has been difficult in the past, and mental illness (MR), reactive attachment disorder (RAD), autism (PDD), disorder of control (RD), post-traumatic stress disorder (PTSD) mental retardation coexists with other mental illnesses and is a serious mental illness. A support system for diagnosing
In addition, reactive attachment disorders other than mental retardation, autism, control disorders, and post-traumatic stress disorder are contradictory, so once any of these mental disorders is confirmed, Since it is not necessary to diagnose the disease, the diagnosis work should be terminated when it is confirmed, and the diagnosis sequence other than mental retardation can be determined relatively clearly and the presence or absence of the disease. Reactive attachment disorder and autism, which are diseases, continue to be judged for mental retardation, and judgment of control disorders that are difficult to distinguish between healthy individuals and patients with mental illness is based on other mental illnesses other than mental retardation This is performed only when the problem is not found, so that the excessive burden on the user is avoided, and the diagnosis of the support system is simple and works.
In order to ensure objectivity, the corresponding items in the checklist are digitized so that the order in which the checklist is generated can be determined more clearly, so as to avoid the noise and inability to determine when using a larger checklist. It is a thing.

  According to the diagnosis and childcare support system of the present invention, parents such as infant parents, nursery school nurses, pediatricians and the like can easily and objectively diagnose mental illness of infants and provide childcare corresponding to the disease. Mental retardation, reactive attachment disorders, autism, control disorders, post-traumatic stress disorder, etc. It can contribute to early detection and early treatment of mental illness.

In the present invention, since language expressions are not sufficient for child-rearing of infants, it is usually difficult to find an appropriate childcare method even if a childcare worker or a pediatrician responds, and in particular, mental illness, especially autism. Symptoms often overlook infants suffering from mental illness despite signs appearing in body gestures, etc. when the age is over 24 months, and misses the opportunity to improve or improve with early detection There were many.
In the case of infants with mental illness related to this autism, although early detection is the basis of fundamental treatment, the discovery is often delayed, and the present inventors can easily detect even in early childhood. As a result of studying whether or not early detection of autism can be performed, the system of the present invention has been conceived.
The basic concept of the present invention is that many checklists regarding mental illnesses prepared by specialists are prepared, and parents, parents, nursery school nurses, pediatricians, etc. who are in contact with the target infant respond to this checklist. By devising numerical values and combinations of the check items for the answers, we can objectively analyze them using a personal computer and derive a diagnosis result of whether or not there is a mental illness. , And what kind of childcare methods are available.

The basic concept of the present invention will be described with reference to FIG. 1 and FIG. 2. If the subject infant is 12 months of age or older, there is a sign of mild mental retardation (MR), so-called mental development or physical ability is delayed. Signs are difficult to detect, so only a diagnosis of control disorder (RD) and healthy is made. Since signs of mental retardation (MR) become prominent at 12 months of age or older, the diagnosis of infants after 12 months of age basically presents a checklist (CL MR) on mental retardation (MR) first. Ask parents, nurseries, pediatricians, etc. to answer the target infants who are users.
The conceptual diagram in FIG. 1 is intended for infants aged 25 to 36 months, presenting a checklist (CL) on mental retardation (MR) at an early stage prior to checking for other mental illnesses, Parents, nursery teachers, pediatricians, etc. who are in contact with the target infants who are users are asked to answer questions regarding mental retardation (MR) (1) When there is at least one check, (2) None The checklist is presented and analyzed in more detail according to the cases. In the cases (1) and (2) above, checklist reactive attachment disorder (CL RAD), checklist autism (CL PDD), check List post-traumatic stress disorder (CL PTSD), checklist control disorder (CL RD) check, in order to rarely miss mental illness, and other than mental retardation (MR) will not coexist, so there is an error Less.
One of the features of the present invention is that only mental retardation (MR) is associated with other reactive attachment disorders (RAD), autism (PDD), posttraumatic stress disorder (PTSD), and control disorder (RD). May coexist with mental illness, but reactive attachment disorder (RAD), autism (PDD), post-traumatic stress disorder (PTSD), and disorder of control (RD) coexist with mutually opposite personalities Since there is no such thing, the system is divided into the first stage of judgment based on the presence or absence of mental retardation, and then the system is less susceptible to noise.

  In addition, if you check with a uniformly large checklist at once, it may be impossible to make a judgment due to the extraction of diseases with opposite personalities, incorrect results will be displayed, and the user will be overloaded. Therefore, it was devised to avoid these things. (1) Order of disease judgment and (2) A simple checklist (finding signs of disease) for a given mental illness Implement two or more floors (first checklist with few items) and checklist for disease confirmation (more detailed confirmation checklist for confirming the disease), and (3) for each specific critical psychiatric disorder In order to avoid putting unnecessary burdens on the user, for example, to make it easy to finish the check work and to prevent noise from entering. It is obtained by so as not to wrong diagnosis result Te Unishi.

Therefore, this flow will be described. If there is no mental retardation (MR) in the previous section (2), the flow is on the left side of FIG.
(2-1) [Reactive attachment disorder (RAD)]
Here, first, the presence or absence of reactive attachment disorder (RAD) is determined. Reactive attachment disorder (RAD) is inappropriate because of psychological or physical abuse in early childhood or early childhood. This is a disability caused by nurtured children, who are still subject to specific attachments (subjects to rely on when they are scared, when they are exposed to an unfamiliar situation, when they are sick, etc.) Suspected of not having. In other words, no one has been touched yet, and when they are scared, when they are exposed to an unknown situation, or when they are in a bad condition, they do not approach a specific person and seek comfort. The characteristic of the problem behavior appears mainly in the interpersonal relationship, but is classified into a suppression type, a de-suppression type, and a mixed type of these depending on how they appear.
In Fig. 1, (2-1) Reactive attachment disorder (RAD) checklist (CL) is presented, and if there is at least one check item, more detailed reactive attachment disorder (RAD) is determined. Checklist (for CL RAD confirmation) is presented, and the checked items are digitized. (2-1-1) If the value is higher than the specified check item and the specified value, (2-1-1 ) Reactive attachment disorder (RAD) suppression type and the childcare method are presented. Similarly, (2-1-2) If the value is high, reactive attachment disorder (RAD) disinhibition type (2-1-3) If the conditions in the preceding two paragraphs are satisfied, it is determined that the reactive attachment disorder RAD is mixed, and the childcare method is presented.

(2-2) [Autism (PDD)]
If there is no check in the corresponding check list of the reactive attachment disorder (RAD) check list (CL), and if it is lower than the predetermined value in (2-1-1), the next self-closing To determine the presence or absence of PDD.
Here again, a checklist (CL) for autism (PDD) is presented, and if there is even one check item, a more detailed checklist for confirming autism (PDD) (for CL PDD confirmation) ), Digitize the checked items, and (2-2-1) If it is higher than the predetermined value, determine autism (PDD) and present the childcare method.

(2-3) [Post-traumatic stress disorder (PTSD)]
If there is no check in the corresponding checklist of the autism (PDD) checklist (CL), and if the checklist is lower than the predetermined value, the presence or absence of the following post-traumatic stress disorder (PTSD) to decide.
Here, a checklist for post-traumatic stress disorder (PTSD) is presented. If there is any check item, a more detailed checklist for determining post-traumatic stress disorder (PTSD) (CL PTSD confirmation) is presented, and the checked items are quantified. If the value is higher than the specified value, post-traumatic stress disorder (PTSD) is determined and the childcare method is presented. In addition, post-traumatic stress disorder (PTSD) may not always be checked in the checklist, so there is a suspicion of post-traumatic stress disorder (PTSD) even if there is no corresponding item in the confirmation checklist. Judge that there is a childcare method, such as continuing observation.

(2-4) [Control Disorder (RD)]
If there is no check in the checklist (CL) of the post-traumatic stress disorder (PTSD) checklist (CL), it is judged whether or not there is the next control disorder (RD), so-called unwieldy child Determine whether.
By the way, control disorder (RD) is difficult to distinguish from normal infants and may not always be diagnosed clearly, but it is not a serious mental illness, so it is not necessary to complete the checklist in two stages.
Based on the characteristics of this control disorder (RD), a comparatively detailed checklist is presented, the specified check items and the items that are checked are digitized, and the specified check items and numerical values for control disorder (RD) hypersensitivity. Based on the above, it is determined that the subject is healthy shy or control disorder (RD) hypersensitivity, and each childcare method is presented. Similarly, from the specified check items and numerical values related to the control disorder (RD) underreaction, healthy relaxation or control disorder (RD) Judged as under-reactive and presents each childcare method. Based on the specified check items and numerical values related to control disorder (RD) impulse, it was determined that the subject was healthy or control disorder (RD) impulse type and presented each childcare method. To do.

The present invention is characterized by the early detection of mental retardation (MR), and mental retardation (MR) is not simple, and requires detailed treatment of its treatment and childcare methods. Recognize mental retardation (MR), reactive attachment disorder (RAD), autism (PDD), disorder of control (RD), post-traumatic stress disorder (PTSD), and childcare It is intended to be presented.
(1-1) [Mental retardation (MR)]
As mentioned in the previous section, when there is mental retardation (MR), the flow on the right side of Fig. 1 is shown, but there is at least one check (1) in the checklist items regarding mental retardation (MR). In this case, mental retardation (MR) is determined, and a checklist for confirming mental retardation (MR) (CL MR confirmation) is presented. Analyze the answers to this checklist for mental retardation (MR) confirmation list (for CL MR confirmation) and assign it to severe mental retardation MR or mild mental retardation (MR), and severe mental retardation (MR) In the case of, present the corresponding childcare method and complete. In the case of mild mental retardation (MR), the process shifts to determining whether or not there is reactive attachment disorder (RAD).
(1-2) [Reactive attachment disorder (RAD) + mental retardation (MR)]
The determination process here is the same as (2-1) [Reactive attachment disorder (RAD)] in the absence of mental retardation (MR), as shown in FIG. The childcare method is different.
Hereinafter, as shown in FIG. 1, (1-2) [Autism (PDD) + mental retardation (MR)], (1-3) [Post-traumatic stress disorder (PTSD) + mental retardation (MR) ], (1-4) [control disorder (RD) + mental retardation (MR)] is also the same as the determination when there is no mental retardation MR, but the final diagnosis result and childcare method are Is different.

  In addition, since one of the other features of the present invention relates to human diagnosis support, as shown in FIG. 2, when it can be clearly determined that there is no disease in the first checklist, such a determination is made. However, if it is suspected that the disease is present, it is determined that the disease is suspected in the first stage, and a confirmation checklist is prepared to determine the presence or absence of the disease. This two-stage (multiple floor) check was used to more accurately determine and diagnose mental illness in infants, but even those who are not specialists for mental illness such as parents and parents, This is to make it possible to operate the system more accurately and to simplify the system to reduce mistakes. It supports day-to-day childcare.

Now, an embodiment of a suitable infant childcare support system according to the present invention will be described in detail with reference to the drawings.
The overall diagnosis and childcare support system for infants and children according to the present embodiment will be described with reference to FIG. 3, but the terminals of parents such as parents of infants who are users, nursery teachers of nursery schools, pediatricians, etc. The apparatus 100, and a server device 200 having a program storing diagnostic childcare information generating means and the like, a database storing a database for judging an infant's personality and mental illness, and a storage device storing information on the target infant, The terminal device 100 and the server device 200 are connected via an information communication network such as the Internet.
This terminal device 100 has an input means 101 and a display means 102, for example, a mobile phone used by a guardian, etc., a personal computer used by nursery school nurses, etc., or a PDA via a wireless LAN, It is a personal digital assistant (PDA) used by a pediatrician and a wireless LAN.
As will be described later, the server device 200 has diagnostic childcare information generation means for infants, but a program and a database for judging the infant's personality and mental illness are updated as necessary by a paid information provider.
This relationship is shown in a block diagram in FIG. 4, and details of FIG. 4 will be described later. Data is transmitted and received between the terminal device 100 and the server device 200 via the information communication network, so that the infant has mental illness. In some cases, the judgment result and the childcare method are displayed on the display means of the terminal device.

How the screen displayed on the terminal device 100 changes, for example, what the display content is, is displayed on the display means of the terminal device 100 using FIG. 5 and FIGS. Screen transition and screen definition will be described.
First, by pressing the “Diagnose” radio button (not shown) on the infant information screen of the user terminal device 100, it is possible to finally diagnose the infant's personality and mental illness and obtain a future childcare method. However, the screen flow of the display means at that time is shown in FIG.
In FIG. 5, when a radio button (not shown) displaying “Diagnose” is pressed, [Infant Detailed Information Screen] S101 is displayed, and is displayed on the display means of the terminal device 100 on the user side. Although the content is a screen as shown in FIG. 6A, when the information on the target infant is input for the first time, if the infant is 28 months old, the date of birth is input. If the date of birth has already been entered, the infant's name or password may be entered. When you enter and press the ENTER key, [Question and Answer Screens per Checklist] S102 and S105 are displayed. Similarly, the specific contents are as shown in FIG. 6B. In this case, however, Since the infant's age is 28 months, a checklist screen for mental retardation is displayed. If you select “Yes” and “No” in this checklist, the data is sent to the server device 200, and the server The diagnosis result analyzed by the device 200 is displayed on the terminal device 100 as a “diagnosis result screen” S111, specifically as a screen as shown in FIG. 6C. In order to confirm the user's answer, a “check list review screen” is displayed. As S112, it is displayed as a screen as shown in FIG. 6D, and when there is a mental illness, if a radio button (not shown) for knowing this is pressed, The display screen "S113, specifically up the screen As shown in FIG. 6E, the user can know the nursery method to deal with mental illness.

Next, with respect to the server apparatus 200 having diagnostic childcare information generating means, an outline of the overall flow program of various information processing procedures in association with the terminal apparatus 100 will be described with reference to the flowchart of FIG.
In FIG. 7, when an instruction for performing diagnosis is performed by designating and inputting information on the target infant on S (step, hereinafter simply referred to as S) 101 of the startup screen (FIG. 6A) of the user terminal device 100, In S102, the target checklist is determined based on the information of the target infant, and in S103, the checklist items and options of the checklist previously recorded in the storage means that is the database are acquired, and the checklist (question item) ) A screen S104 is generated and transmitted to the user terminal 100.
In S105, the user who is the user observes the status of the target infant, selects the appropriate option for all the questions in the checklist, and sends it to the diagnostic childcare support system server device 200 having a program such as a flow. To do.
Next, the answer choices for the question items in the checklist sent in S106 are converted into the choice values recorded in the storage means, and the values are weighted for each item to prepare for the answer total value by judgment group . At the same time, a determination group ID set for a predefined question item is acquired and linked to the determination group ID and the weighted value.

In S107, since the determination logic is different for each check list, a determination pattern is selected according to a pattern of the determination means selected and determined by the determination pattern selection means (see FIG. 11). Checklist result based on ID and option value. As the output of the determined result, the diagnosis result ID and the result flag are acquired.
In S108, based on the result flag acquired by the determination means and the checklist ID that has been executed now, the checklist ID to be executed next is derived from the storage means, and whether or not the typing should be finished is to determine the next checklist. Determine if it should be done.
When implementing the next checklist, the checklist ID acquired in the previous S108 is used to return to S103 to generate a checklist question screen (FIG. 6B) again and transmit it to the user terminal.
When ending the diagnosis, it is determined whether or not it is an MR (mental mental retardation) complication in S109, and if it is determined that it is an MR (mental mental retardation) complication, the diagnosis result ID previously acquired in S107 is used. Used to re-acquire the diagnosis result ID of MR (mental retardation) complications from the storage means.
In S110, the diagnosis result ID is acquired from the storage means using the confirmed diagnosis result ID, and the user side terminal device is used to generate the diagnosis result screen S111 (FIG. 6C) and the childcare method display screen S113 (FIG. 6E). Send to 100.

The server device 200 having the diagnostic childcare information generating means of FIG. 7 will be described in more detail. FIG. 4 is a block diagram in which the flow of FIG. 7 and FIG. 5 is combined. As shown in FIG. The diagnosis and childcare support system server device 200 includes a diagnosis childcare information generation unit 201 and a database 202 that is an external storage device. The diagnosis childcare information generation unit 201 includes various programs, and the database 202 includes various tables. Stored.
As shown in FIG. 4, the diagnostic childcare information generating unit 201 mainly includes a check list generating unit 2011, a disease diagnosing unit 2012, and a diagnostic result transmitting unit 2013.
Further, the checklist generation unit 2011 includes a checklist ID determination unit 20111 and a checklist question item generation unit 20112. The disease diagnosis unit 2012 includes a checklist answer digitization unit 20121, a determination pattern selection unit 20122, and a selected determination pattern. Determination means 20123, then checklist derivation means 20124, and mental retardation MR complication determination means 20125.
Corresponding to these processing means, the database 202 includes a target age table, disease type definition table, check list table, check list item table, option definition table, diagnosis result table, check list flow definition table, childcare method table, etc. Stored.

Here, prior to the description of each processing means of the server device 200, the table stored in the database DB, which is an external storage device, will be described with reference to the drawings.
The “target age table” shown in FIG. 20 is a table that holds the age information for specifying the target age ID to correspond to the infant to be diagnosed, and includes the target age ID, the target age name, the target age FROM, It has the target age TO etc., and is provided to the checklist ID judging means 20111 etc.
The “disease type definition table” shown in FIG. 21 is a table for holding the type (name) of a disease, and has a disease type ID, a disease type name, a disease type description, a disease type alias, etc. as items. Used for additional information for disease diagnosis.
The “check list table” shown in FIG. 22 is a table for holding a check list for judging mental illness, and has check list ID, check list name, disease type ID, target age ID, etc. as items. ing.
The “choice definition table” shown in FIG. 23 is a table that holds actual choices and choice values that are selected and associated with type IDs defined in each list item. The choice type ID, choice type, choice, Has choice values etc.
The “check list item table” shown in FIG. 24 is a table that holds question items and answers (options) related to each check list, and the items are a check list ID (2151...), A check list item ID (1 ..), Check list item, option type ID (2...), Judgment group ID (1...), Etc., and provided to the check list answer digitizing means 20121 and the like.
The “determination condition table” shown in FIG. 25 has a diagnosis result ID, a result flag, etc., and is provided to the determination means.
The “diagnosis result table” shown in FIG. 26 is a table that holds disease information associated with the diagnosis result ID output by each determination unit, and includes items such as diagnosis result ID, MR flag, title, disease description, It has an MR + result code, etc., and is used for mental retardation MR complication determination means 20125 and diagnosis result transmission means 2013.
The “checklist flow definition table” shown in FIG. 27 is a table that defines which checklist is to be processed next after processing the checklist, and includes items such as checklist ID, target age, result flag, It has the next checklist ID and is mainly provided to the next checklist deriving means 20124.
The “childcare method table” shown in FIG. 28 is a table that holds childcare method information associated with diagnosis results, and has diagnosis result ID, childcare method, and the like as items, and is mainly provided to the diagnosis result transmission means 2013. .

Next, various means using the information of each table stored in the database will be described.
[Checklist ID judging means]
When explaining in order from the upstream of the flow, the “checklist ID determination means” in S102 of FIG. 7 will be described with reference to FIG. Using the infant ID entered in S202, the date of birth is searched from the infant information table in the database (DB: right of the figure), and the age at the time of the processing date is calculated from this date of birth. Here, if the target infant is diagnosed with this system for the first time, the date of birth is input.
In S203, the target age ID in the “target age table (FIG. 20)” is searched using the calculated age, and for example, 21 of the “target age ID” from 13 months to 18 months is acquired. In the present embodiment, the analysis means and the childcare method differ depending on the age range, so the checklist, processing flow, childcare table, and the like are also different. In this target age table, as shown in the target age table of FIG. 20, the age is 0 to 3 months, 4 to 9 months, 10 to 12 months, 13 to 18 months, 19 to 24 months, 25 to 25 months, 25 A checklist, a processing flow, a childcare table, etc. are prepared for each month from 36 months.
In S204, the checklist ID of the “checklist flow definition table (FIG. 27)” is searched using the obtained target age ID, and for example, execution of 2111 to 21... Corresponding to the target age ID of 21 is performed. The checklist ID to be acquired is acquired, and is output to “checklist question item generation means” which is the next flow in S205.
In the embodiment of the infant diagnosis and childcare support system, the diagnosis childcare information generating means is prepared for each age category of the target infant, but as can be seen from the “checklist flow definition table” in FIG. Below months, signs of mental retardation (MR) are difficult to understand, so there is no instruction to generate a checklist for mental retardation (MR).

[Checklist question item generation means]
The “check list question item generation means” in S103 of FIG. 7 will be described with reference to FIG.
First, in S301, the checklist ID output in S205 (checklist ID determination means) in the preprocessing, for example, 2111 to 21... Is input, and the database (FIG. Search the checklist name from “Checklist Table (FIG. 22)” and “Additional Information” (Disease Type Definition Table (FIG. 21)) from the right), and search for the corresponding, for example, CLMR, CLMR confirmation, CLRAD・ Obtain a “checklist name”.
Next, in S303, if the input checklist ID, for example, ID is 2151, the “checklist item table (FIG. 24)” is searched from this 2151, and for example “CLRD 1” of “checklist item” is searched. 18 and “option type”, for example, 2 are acquired. In S304, the “option definition table (FIG. 23)” is searched, and the option is selected from the “option type” of 2 in S303, for example, 3 options ( 1) Get that.
In S305, each table is accessed from each ID described above, and specific checklist question items are output to the display means of the terminal device 100.

[Checklist answer digitization means]
In this embodiment, the corresponding items of the check list are digitized to ensure the objectivity of the determination, and the numerical value is simply 1 or more when the corresponding items of the check list are important from past cases and experiences. Are weighted to 2 etc., and the items are grouped and analyzed so that an objective and correct result can be obtained.
The “checklist answer digitizing means” in S106 of FIG. 7 will be described with reference to FIG. 10. First, for each checklist question item displayed on the display means of the terminal device 100, the input means of the terminal device 100 is used. The user enters an answer. In S401, the input data is input to the “checklist answer digitizing means (FIG. 10)” of the server device, that is, the option ID of the “option definition table (FIG. 23)”, for example, 1 is selected. Using the input option ID, the “option definition table (FIG. 23)” in the database is searched to acquire an option value. Separately, in S403, the determination group ID is acquired from the “check list item table (FIG. 24)” for each check list item.
In S404, the obtained checklist item, option value, and determination group ID are output to the next determination pattern selection unit and the selected determination unit.

[Determination means (determination pattern) selection means]
In S107 of FIG. 7, the diagnosis result ID is acquired by the “determination unit (determination pattern) selection unit” and the “determination unit” based on each determination criterion selected thereby, and if necessary, the diagnosis result is obtained. The diagnosis result is displayed on the display means of the terminal device 100 from the ID.
Here, the determination pattern selection means will be described with reference to FIG. 11. A determination logic is prepared for each checklist, and the determination order is mental retardation (MR), reactive attachment disorder (RAD), self-determination. Autism (PDD), post-traumatic stress disorder (PTSD), and disorder of control (RD), which are consistent with the order of importance of mental illness.
As mentioned above, mental retardation (MR) can be diagnosed relatively clearly, and other mental retardation (MR), reactive attachment disorder (RAD), autism (PDD), after trauma Since coexistence with stress disorder (PTSD) and control disorder (RD) has been found as a result of many years of research, prior to the diagnosis of other mental disorders, the diagnosis of mental retardation is made.
Next, a diagnosis of mental illness other than mental retardation (MR) is made, but this conflicts with reactive attachment disorder (RAD), autism (PDD), post-traumatic stress disorder (PTSD), and disorder of control (RD). Symptoms do not coexist, and reactive attachment disorder (RAD) and autism (PDD) can be diagnosed relatively clearly in this order, and post-traumatic stress disorder (PTSD) Since there are only a few cases, it may not be possible to clearly diagnose the presence or absence of a disorder. Control disorders (RD) are difficult to distinguish from healthy infants and there are many checklist items.
Naturally, if a disease other than control disorder (RD) is found, the analysis ends there, so the diagnosis of control disorder (RD) with many checklist items is not performed.
Therefore, as shown in Fig. 11, diagnosis is performed in the order of mental retardation (MR), reactive attachment disorder (RAD), autism (PDD), post-traumatic stress disorder (PTSD), and disorder of control (RD). Execute.

(1) [Selection of judgment means (judgment pattern) for mental retardation (MR)]
Therefore, to explain along FIG. 11, first, in S501, the judgment group ID attached to the checklist ID output in S404 is input, and the judgment means corresponds to the mental retardation (MR) in S502. If so (CL-ID = CLMR YES), the process proceeds to “determination means: basic pattern” in S510, and diagnosis is performed using this determination means.
If the checklist is not mental retardation (MR) (NO), the process proceeds to S503 to determine whether the judgment group ID is for determining the checklist mental retardation (MR). -ID = YES for CLMR determination), the process proceeds to “determination means: mental retardation (MR) determination pattern” in S511, and diagnosis is performed using this specific determination means.

(2) [Reactive attachment disorder (selection of determination means (determination pattern) for RAD9]]
Similarly, if the checklist is not for mental retardation (MR) confirmation (NO), the process proceeds to S504, and it is determined whether the determination group ID is a checklist for reactive attachment disorder (RAD). CL−ID = CLRAD YES), the process proceeds to “determination means: basic pattern” in S510, and diagnosis is performed using this determination means.
Conversely, if it is not a reactive attachment disorder (RAD) checklist in S504, it will be (NO), proceed to S505, determine whether the determination group ID is for checklist reactive attachment disorder (RAD) confirmation, If applicable (CL-ID = YES for CLRAD determination), the process proceeds to a specific “determination means: reactive attachment disorder (RAD) determination pattern” in S512, and diagnosis is performed using this determination means.

(3) [Selection of judgment means (judgment pattern) for autism (PDD)]
If the reactive attachment disorder (RAD) confirmation checklist is not determined in S505 (NO), the process proceeds to S506 for selecting a determination means for the next autism (PDD).
If the checklist ID corresponds to autism (PDD) in S506 (CL-ID = CLPDD YES), the selection of the determination method for autism (PDD) proceeds to “determination means: basic pattern” in S510. Diagnosis is made using the judging means. Conversely, if it is not an autism (PDD) checklist (NO), the process proceeds to S507, and in S507, it is determined whether the checklist ID is for confirmation of checklist autism (PDD). (CL-ID = YES for CLDPD determination), the process proceeds to a specific “determination means: autism (PDD) determination pattern” in S513, and diagnosis is performed using this determination means.

(4) [Selection of judgment means (judgment pattern) for post-traumatic stress disorder (PTSD)]
If the checklist is not for confirmation of autism (PDD) in S507 (NO), the process proceeds to S508 for selecting the next means for determining post-traumatic stress disorder (PTSD).
Selection of judgment means for post-traumatic stress disorder (PTSD) is determined in S508 if the checklist ID corresponds to post-traumatic stress disorder (PTSD) (CL-ID = CLPTSD YES). Proceeding to “Post-traumatic stress disorder (PTSD) pattern”, this diagnosis will be used for diagnosis. Similarly, if it is not a post-traumatic stress disorder (PTSD) checklist (NO), the process proceeds to S509, and it is determined whether the checklist ID is for confirmation of the checklist post-traumatic stress disorder (PTSD). If it is true (CL-ID = YES for CLPTSD determination), the process proceeds to “determination means: basic pattern” in S510, and diagnosis is performed using this determination means.
This judgment method is different from the above-mentioned disease judgment because there are few cases and the checklist for post-traumatic stress disorder (PTSD) is confirmed and there is no applicable item. This is because there is a need for a specific means of judgment that post-stress disorder (PTSD) is suspected.

(5) [Selection of judgment means (judgment pattern) for control failure RD]
If the checklist is not for confirming post-traumatic stress disorder (PTSD) (NO) in S509, the process proceeds to S515 of the last specific control disorder (RD) determination means.
Control disorder (RD) is a so-called difficult-to-handle child, as mentioned above, difficult to distinguish from normal infants and may not always be clearly diagnosed, but difficult to say that it is a serious mental illness. Should be used only for infants who do not fall into any of the above mentioned mental disorders other than mental retardation, such as reactive attachment disorder (RAD), autism (PDD), and post-traumatic stress disorder (PTSD). ing. In addition, since the diagnosis cannot always be made clearly, a relatively detailed checklist is presented from the beginning, a confirmation checklist is not prepared, and a two-stage checklist is not presented.

Next, the determination group in FIG. 11 described above has one basic pattern determination means (S510), and the determination group corresponding to each disease has a plurality of specific pattern determination means (S511, S512, S513, S514, S515). This will be described in detail.
(1) [Basic pattern determination means (FIG. 11 S510)]
The basic pattern determination means in S510 of FIG. 11 is one basic pattern determination group. As shown in FIG. 12, the database option definition table (FIG. 23), which is J (hereinafter abbreviated as determination step) 101, checks When a checklist ID, checklist item, option value, and judgment group ID are input from the list item table (FIG. 24) etc., J102 totals the option values that have been input for that group based on the judgment group ID. To do.
In J103, the determination condition table (FIG. 25) is searched using the check list ID, the selected determination group ID, and the total value, and the diagnosis result ID and the result flag are acquired.
The diagnosis result ID and result flag are output at J104, and the information is temporarily stored and stored in the internal storage device (memory) (FIG. 19) on the diagnosis childcare information generation means 201 (determination means) side, and the diagnosis result is transmitted. Outputs that it is ready.

(2) [Means for determining mental retardation (MR) definite pattern (S511 in FIG. 11)]
The mental retardation (MR) pattern determination means in S511 of FIG. 11 is a pattern that is specified for determining the checklist mental retardation (MR) with a plurality of determination groups. As shown in FIG. When a checklist ID, checklist item, option value, or judgment group ID is entered from a table, checklist item table, etc., J202 totals the option values entered for that group based on the judgment group ID. .
In J203, the determination condition table (FIG. 25) and the check list flow definition table (FIG. 27) are searched using the check list ID, the selected determination group ID, and the total value, and the diagnosis result ID is acquired. In J204, in this case, when there are a plurality of determination groups and all the result flags of the determination group are “0. No”, it is determined that there is no mental retardation (MR) (YES), and the process proceeds to J205, where result flag = “0 : "Negative" diagnosis result ID and result flag are obtained, and the diagnosis result ID and result flag are output in J207 to output that the diagnosis result is ready for transmission.
On the other hand, in J204, if at least one of the judgment groups is checked and confirmed, the judgment proceeds to J206 when judged as severe mental retardation (MR), and the result flag = “2: Confirmed” is diagnosed. Obtains the result ID, outputs the diagnosis result ID and result flag in J207 in the same way as J205, temporarily stores this information in the internal storage device (FIG. 19) on the diagnostic childcare information generation means 201 side, and transmits the diagnosis result Outputs that it is ready.
This determination is such a determination method because the determination of mental retardation (MR) can be determined almost clearly whether there is a disease or not.

(3) [Reactive attachment disorder (RAD) determination pattern determination means (FIG. 11, S512)]
The characteristics of restrained children are difficult to deal with, and are over-suppressed or over-warning. In addition, negative emotions (sadness, withdrawal, guzzling, irritation, etc.) are often shown in many scenes of daily life, and the feature of the deregulation type is that it shows indiscriminate sociality. In other words, it shows behaviors such as approaching and following an overly familiar and familiar person.
The reactive attachment disorder (RAD) pattern determination means in S512 of FIG. 11 is a pattern that has a plurality of determination groups and is specified in the reactive attachment disorder (RAD) confirmation checklist. As shown in FIG. When the checklist ID, checklist item, option value, and judgment group ID are input from the database option definition table, checklist item table, etc., J302 displays the result of the input of that group based on the judgment group ID. Aggregate option values.
In J303, the determination condition table (FIG. 25) is searched using the check list ID, the selected determination group ID, and the total value, and the diagnosis result ID and the result flag are acquired. J304. In this case, there are multiple judgment groups, and the judgment results are (1) reactive attachment disorder (RAD) suppression type, (2) reactive attachment disorder (RAD) disinhibition type, (3) reactive attachment disorder ( RAD) There are three types of mixed results, so the distribution is complicated by J304.
If flag 1 is = 2 (failure confirmed) and flag 2 is also = 2 (confirmed) (Flg1 = 2 and Flg2 = 2), proceed to J305 (3) ID = 3 for reactive attachment disorder (RAD) mixed type Acquired and outputs the diagnosis result ID and result flag in J309, and outputs that the diagnosis result is ready for transmission.
Similarly, if flag 1 is 2 (fault confirmed) and flag 2 is not ≠ 2 (negation) (Flg1 = 2 and Flg2 ≠ 2), the process proceeds to J306. (1) Reactive attachment disorder (RAD) suppression type ID = 1 is acquired, the diagnosis result ID and the result flag are output in J309, and the fact that the preparation for diagnosis result transmission is ready is output.
Similarly, if flag 1 is not 2 (negative) and flag 2 is 2 (determined) (Flg1 ≠ 2 and Flg2 = 2), the process proceeds to J307. (2) Reactive attachment disorder (RAD) disinhibition type ID = 2 is obtained, the diagnosis result ID and the result flag are output in J309, and the fact that preparation for transmission of the diagnosis result is ready is output.
Similarly, if flag 1 is not 2 (negation) and flag 2 is not 2 (negation) (Flg1 ≠ 2 and Flg2 ≠ 2), the process proceeds to J308. (1) Reactive attachment disorder (RAD) suppression type ID = 1 is obtained, and a diagnosis result ID and a result flag are output in J309. These pieces of information are temporarily stored in the internal storage device (FIG. 19), and output that diagnosis result transmission is ready.
This pattern is due to the diagnostic results of the three types of reactive attachment disorders (RAD) being obtained from the checklist for reactive attachment disorders (RAD).

(4) [Means for determining autism PDD confirmation pattern (S512 in FIG. 13)]
The determination means of the autism (PDD) pattern in S513 in FIG. 11 is a pattern in which a plurality of determination groups are specified in the checklist for determining autism (PDD), and as shown in FIG. When a checklist ID, checklist item, option value, or judgment group ID is entered from a choice definition table, checklist item table, etc. in the database, J402 selects the result of the entered result based on the judgment group ID. Aggregate values.
In J403, the judgment condition table (FIG. 25) is searched using the checklist ID, the selected judgment group ID, and the total value, the diagnosis result ID and the result flag are acquired, and the process proceeds to J404. In J404, there are two types of diagnosis results for autism (PDD): whether or not the result of all judgment groups is “2 = confirmed”, it is judged as autism (PDD) (YES), and the process proceeds to S405. The diagnosis result ID of flag = 2 (determined) is acquired, the diagnosis result ID and the result flag are output in J407, and the fact that the preparation for diagnosis result transmission is ready is output.
Conversely, if at least one of the determination groups in S404 is not confirmed = 2, it is determined that the condition is not autism (PDD), and the process proceeds to J406 to obtain a diagnosis result ID of result flag = 0 (negative). , J407S outputs the diagnosis result ID and the result flag, temporarily stores these information in the internal storage device (FIG. 19), and outputs that the diagnosis result transmission is ready.

(5) [Means for determining post-traumatic stress disorder (PTSD) pattern (FIG. 11, S514)]
The determination means for post-traumatic stress disorder (PTSD) in S514 of FIG. 11 is a pattern in which a plurality of determination groups are specified as post-traumatic stress disorder (PTSD). As shown in FIG. When a checklist ID, checklist item, option value, or judgment group ID is entered from a choice definition table, checklist item table, etc. in the database, J502 uses the judgment group ID as a result of the entered results for that group. Aggregate values.
In J503, the determination condition table (FIG. 25) is searched using the checklist ID, the selected determination group ID, and the total value, and the diagnosis result ID and the result flag are acquired, and the process proceeds to J504. In J504, the post-traumatic stress disorder (PTSD) diagnosis results are two types of confirmed or suspected, so if the results of all judgment groups are “2 = confirmed”, post-traumatic stress disorder (PTSD) is determined. (YES), proceed to J505, acquire the diagnosis result ID of result flag = 2 (determined), output the diagnosis result ID and the result flag in J507S, and output that the diagnosis result is ready for transmission.
By the way, there are few cases of post-traumatic stress disorder (PTSD), which may be seen as a sign, and even if there is no applicable item for confirmation of post-traumatic stress disorder (PTSD) in the checklist, immediately after traumatic injury It is dangerous to determine that there is no stress disorder (PTSD).
Therefore, if there is no corresponding item in the confirmation checklist at J504S (NO), the diagnosis result ID “1: Suspect” is acquired as the observation is required continuously at J506, and the diagnosis result ID and result are obtained at J507S. A flag is output, the information is temporarily stored in the internal storage device (FIG. 19), and output that the diagnosis result transmission is ready.

(6) [Control Disability (RD) Pattern Judgment Means (Fig. 11 S515)]
In the determination flow of the present embodiment, when a disease other than the upstream control failure (RD) is found, the process ends with the diagnosis, so the control failure RD with many checklist items is not diagnosed.
Control disorder (RD) is difficult to distinguish from healthy infants and has many checklist items, so one of the features is that it is programmed to be checked and diagnosed at the end of the flow.
The control failure (RD) pattern determination means in S515 of FIG. 11 is divided into three determination groups, calculates the total value, and specifies the control failure (RD) checklist for analyzing the total value for each group. As shown in FIG. 17, when a checklist ID, checklist item, option value, and judgment group ID are input from the database option definition table, checklist item table, etc. in J601, the judgment is made in J602. Aggregate the values of the selection results for each group ID, that is, calculate the aggregate value of group 1, the aggregate value of group 2, and the aggregate value of group 3. First, in J603, the aggregate value of group 1 <the aggregate value of group 2 If yes (YES), proceed to J604, and in J604, determine the aggregate value of group 2 <the aggregate value of group 3, and if yes (YES), determine the total value of determination group 3 in J606. Intended, and determination target total value of the determination Group 2 if not (NO) J607 with J604.
Conversely, in J603, the aggregate value of group 1 <the aggregate value of group 2 is determined. If not (NO), the process proceeds to J605, and in J605, the aggregate value of group 1 <the aggregate value of group 3 is determined. If there is (YES), the total value of the determination group 3 is determined as a determination target in J608, and if it is not determined in J605 (NO), the total value of the determination group 1 is determined as a determination target in J609.
After specifying the determination target in J606 to J609, the process proceeds to J610. The J610 searches the determination condition table (FIG. 25) using the checklist ID, the determination group ID, and the total value, and determines the diagnosis result ID and the result flag. The process proceeds to J611, where the diagnosis result ID and the result flag are output in J611, the information is temporarily stored in the internal storage device (FIG. 19), and the diagnosis result transmission is ready.

  As described above, the determination means for each check list is selected by the selection means of the determination means (pattern) in FIG. 11, and the selected [basic pattern determination means (S510 in FIG. 11)] and the special check list are selected. [Means for determining delayed mental retardation (MR) (Fig. 11 S511)], [Methods for determining reactive attachment disorder (RAD) determined pattern (Fig. 11 S512)], [Determination of autism (PDD) Identification of pattern judging means (Fig. 13 S513), post-traumatic stress disorder (PTSD) pattern judging means (Fig. 11 S514)], control disorder (RD) pattern judging means (Fig. 11 S515), etc. The determination means determines each mental disease and extracts a diagnosis result. As described above, in S516 of FIG. 11, the extraction of the diagnosis result for the predetermined check list is ended for the time being.

[Next checklist derivation means by flow definition]
The concept of “determination unit (determination pattern) selection unit” and “determination unit based on determination criterion” in S107 of FIG. 7 will be described. From the simplicity of the diagnostic work and the accuracy of the diagnostic analysis, The order of generation is first to generate a mental retardation MR checklist, then to reactive attachment disorder (RAD), autism (PDD), post-traumatic stress disorder (PTSD9, and finally to control disorder (RD) ), But if a mental illness other than mental retardation (MR) is detected by the time the disorder of control (RD) is performed, the diagnosis ends there.
This flow will be described with reference to FIG. 18. The diagnosis result ID and the result flag are output in S516 of FIG. 11, and are output from the flow definition table based on the result flag output from the determination unit in S601 of FIG. If the next checklist ID is finished, the checklist question item generating means finishes generating the checklist, the checklist ID and the result flag are input, and the process proceeds to S602. In S602, the checklist flow definition table (FIG. 27) is searched using the checklist ID and the result flag, the next checklist ID is obtained, the next checklist ID is output in S603, and the process returns to S103 in FIG. The same flow is repeated with different checklists. And somewhere, if the mental illness is confirmed, the diagnosis is finished, and if no mental illness is found, the final control disorder RD is diagnosed and finished, and at the end of these work, mental retardation MR and Complications with other mental illnesses are determined by means of mental retardation MR complications determination.

[Means of determining mental retardation (MR) complications]
In S109 of FIG. 7, complications between mental retardation (MR), which is a characteristic part of the present invention, and other mental disorders are determined. As described above, mental retardation (MR) alone can be combined with other mental illnesses, and is an important matter in the diagnosis of mental illness in infants.
In FIG. 19, in S701, information such as all diagnosis result IDs and result flags that have been executed and ended is once stored in the internal storage device (memory) M701 on the diagnosis childcare information generation unit 201 side. All the diagnosis result IDs that have been executed and completed are acquired from the internal storage device M701.
In S702, it is determined whether or not there is a result code of suspected mental retardation (MR) in all the diagnosis result IDs that have been executed. If not, the process proceeds to S704. Output. Here, the definitive diagnosis result ID is a result ID for the check list executed last in the check list group executed according to the flow definition.
On the other hand, if there is a result code of suspected mental retardation (MR) in S702 (YES) (diagnosis result ID211121 in the diagnosis result table (FIG. 26), MR flag = 1, etc.), the process proceeds to S703, and the diagnosis result ID for confirmation Is used to search the diagnosis result table (FIG. 26) in the database, acquire mental retardation (MR) + diagnosis result ID, proceed to S704, and output the definite diagnosis result ID in S704.

[Diagnosis result transmission means]
The diagnosis is completed by the flow as described above, and the diagnostic result transmission means 2013 displays the specific contents from the diagnosis result ID on the display means 102 of the terminal device 100 in S110 of FIG. 7, but the display in S111 of FIG. In this case, the diagnosis result and the specific contents of the corresponding childcare method are displayed on the screen or printed from the diagnosis result table (FIG. 26) and the childcare method table (FIG. 28) using the confirmed diagnosis result ID. Output.

As described above, in this embodiment, diagnosis and childcare methods for mental illnesses for infants and the like, which have been extremely difficult in the past, can be presented. Mental retardation (MR), reactive attachment disorder (RAD), which are mental illnesses Mental retardation (MR) among autism (PDD), disorder of control (RD), and post-traumatic stress disorder (PTSD) is associated with other mental illnesses and is also a serious mental illness. Focusing on the support system that diagnoses mental retardation first, reactive attachment disorder (RAD) other than mental retardation (MR), autism (PDD), control disorder (RD), post-traumatic stress disorder (PTSD) is of a conflicting nature, so once one of these mental illnesses has been confirmed, there is no need to diagnose other mental illnesses. did.
Furthermore, as for the order of diagnosis other than mental retardation (MR), the presence or absence of the disease can be determined relatively clearly, and reactive attachment disorder (RAD) or autism (PDD) is a serious mental illness. ) Is followed by the determination of mental retardation (MR), and then post-traumatic stress disorder (PTSD) is diagnosed. Support to continue observation.
Finally, it is difficult to distinguish between healthy individuals and patients with mental illness (RD) only when no other mental illnesses other than mental retardation (MR) are found. In this way, the diagnosis of the support system is simple and easy to operate.
In order to ensure objectivity, the checklist is quantified and the importance and check items are grouped. A specific checklist is prepared for each mental illness and diagnosed. I was able to diagnose the disease.
As described above, the diagnosis and childcare support system of the present embodiment is an excessive amount that occurs when a guardian such as an infant's parents, a nursery teacher at a nursery school, a pediatrician, etc. use a checklist with a large number of items at once. There are fewer burdens, check noises when giving a checklist, and cases where judgments cannot be made. By using this diagnosis and childcare support system, it is possible to easily diagnose an infant's heart disease and have a disease. To improve autism (PDD), which makes it possible to detect early and present childcare methods that deal with the disease, especially if it is missed during early childhood Can contribute to the relief or improvement of mental disorders such as mental retardation (MR), reactive attachment disorder (RAD), control disorder (RD), post-traumatic stress disorder (PTSD).
In addition, as long as the features of the present invention are not impaired, the present invention is not limited to the above-described embodiment, and even if the age range is 3 years old or more, it can be applied up to about 6 years old. What is necessary is just to change suitably, for example, what is necessary is just to change suitably for 4-9 months according to a case. In this example, the order of diagnosis was mental retardation (MR) followed by reactive attachment disorder (PTSD). If necessary, mental retardation (MR) followed by autism (PDD). You may make it diagnose. Of course, presentation of the mental retardation (MR) checklist (CL) can be omitted for infants who cannot diagnose mental retardation (MR).

It is explanatory drawing which showed the whole concept which showed the flow of a diagnosis in the Example of this invention from the age of 25 months to 36 months, and the relationship of a check list. It is explanatory drawing showing the basic concept of the check list of this invention. It is a conceptual diagram of the whole system of this invention. It is a block diagram of the whole system of this invention. It is a block diagram of the screen transition in a terminal device. It is a figure of the infant details screen in S101 of FIG. 5 of a terminal device. It is a figure of the check list screen in S102 of FIG. 5, and S105 of a terminal device. It is a figure of the diagnostic result screen in S111 of FIG. 5 of a terminal device. It is a figure of the check list look-back (confirmation) screen of S112 of FIG. 5 of a terminal device. It is a figure of the display screen of the childcare method in S113 of FIG. 5 of a terminal device. It is a block diagram of the whole flow of a server apparatus. It is a flowchart figure of a check list ID determination means. It is a flowchart figure of a check list question item production | generation means. It is a flowchart figure of a check list answer digitization means. It is a flowchart figure of the selection means of a determination pattern. It is a flowchart figure of the determination means of a basic pattern. It is a flowchart figure of the determination means of a mental retardation delay (MR) definite pattern. It is a flowchart figure of the determination means of a reactive attachment disorder (RAD) definite pattern. It is a flowchart figure of the determination means of an autism (PDD) definite pattern. It is a flowchart figure of the determination means of the post-traumatic stress disorder (PTSD) pattern. It is a flowchart figure of the determination means of a control disorder (RD) pattern. It is a flowchart figure of the derivation | leading-out means which derives | leads-out the next check list. It is a flowchart figure of the determination means of a mental retardation (MR) complication. It is a figure of the "target month table" stored in DB. It is a figure of the "disease type definition table" stored in DB. It is a figure of the "check list table" stored in DB. It is a figure of the "option definition table" stored in DB. It is a figure of the "check list item table" stored in DB. It is a figure of the "judgment condition table" stored in DB. It is a figure of the "diagnosis result table" stored in DB. It is a figure of the "check list flow definition table" stored in DB. It is a figure of the "childcare method table" stored in DB.

Explanation of symbols

MR, mental retardation, RAD, reactive attachment disorder, PDD, autism,
PTSD ... post-traumatic stress disorder, RD ... control disorder,
CL checklist,
100 ·· Terminal device on the user side, 101 · · Input means, 102 · · Display means
200..System server device, 201..Diagnostic childcare information generation means,
202. ..Dataverse (DB), 203

Claims (8)

In a diagnosis and childcare support system comprising diagnosis childcare information generating means connected to a terminal device via an information communication network,
The diagnosis and childcare support system includes a database for storing various tables such as diagnosis results and childcare methods,
The target age ID is acquired from the database by the infant ID transmitted from the terminal device, the checklist ID is acquired using the target age ID, and the checklist question item is generated using the checklist ID. Check list generation means for outputting to the terminal device;
The determination group ID is acquired from the database by the check list response transmitted from the terminal device, the determination pattern for determining the check list is selected by the determination group ID, and the diagnosis result from the database by the selected determination pattern Obtaining an ID and a result flag, obtaining the next checklist ID from the database by the diagnosis result ID and the result flag, deriving the next checklist, and after inputting all the diagnostic result IDs, A diagnosis and childcare support system, comprising: a diagnosis childcare information generating unit including a disease diagnosis unit that acquires a diagnosis result of a complication of mental retardation from a data table.   2. The diagnosis and childcare support system according to claim 1, wherein the check list generated by the check list generation unit relates to mental retardation, reactive attachment disorder, autism, post-traumatic stress disorder, and control disorder from the database. A diagnosis and childcare support system characterized by acquiring and generating a checklist ID.   3. The diagnosis and childcare support system according to claim 1, wherein the check list generation means is at least one of check lists regarding mental retardation, reactive attachment disorder, autism, and post-traumatic stress disorder. For the above, the disease type ID for finding the signs of each disorder from the database is acquired, and when a disease type ID corresponding to the signs is input, a more detailed checklist for confirmation is generated. Diagnosis and childcare support system.   The diagnosis and childcare support system according to any one of claims 1 to 3, wherein the next checklist derivation means ends the next checklist ID output from the flow definition table based on the result flag output from the determination pattern. If so, the diagnosis and childcare support system is characterized in that the checklist generation by the checklist generation means is terminated.   5. The diagnosis and childcare support system according to claim 1, wherein the check list generation unit acquires a check list ID from the database, and first generates a check list related to mental retardation. Diagnosis and childcare support system.   6. The diagnosis and childcare support system according to claim 1 or 5, wherein the checklist generation means acquires a checklist ID from the database, and follows a mental retardation checklist, followed by reactive attachment disorder or self-administration. A diagnosis and childcare support system, characterized by being generated in the order of a checklist for autism.   The diagnosis and childcare support system according to any one of claims 1 to 6, wherein the check list generation unit acquires a check list ID from the database, and finally generates a check list related to a control failure. Diagnosis and childcare support system.   8. The diagnosis and childcare support system according to claim 1 or 7, wherein an answer digitizing means is provided for processing the checklist answer sent from the terminal device, and the answer digitizing means weights the database. A diagnosis and childcare support system characterized by acquiring option values.

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