JP6357117B2 - Disease state determination device, disease state determination program, and computer-readable recording medium storing the program - Google Patents

Description

  The present invention relates to a disease state determination apparatus, a disease state determination program, and a computer-readable recording medium storing the program.

  2. Description of the Related Art Conventionally, there has been proposed an automatic medical examination apparatus that determines a disease name on a computer by inputting symptoms and the like that occur in the user to the computer (see, for example, Patent Document 1). In such an automatic medical examination apparatus, the content of the medical inquiry is displayed as an image prior to the determination of the disease name, and the user makes a reply to the content of the medical inquiry.

JP 2001-344340 A

  However, the automatic medical examination apparatus described in Patent Document 1 still has a problem in accurately determining disease name candidates.

  The present invention has been made to solve such a conventional problem, and the object of the present invention is to provide a pathological condition determination apparatus, a pathological condition determination program, and a program capable of determining a disease name candidate with higher accuracy. An object of the present invention is to provide a computer-readable recording medium storing a program.

The pathological condition determination apparatus of the present invention is a pathological condition determination apparatus that determines a candidate for a disease name based on a response result from an operator, and has a screen for selecting one or more symptom items from a plurality of predetermined symptom items. First display control means for displaying, first storage means for storing question contents set for each of the plurality of symptom items, and a symptom item selected on a screen displayed by the first display control means The second display control means for reading out the question contents from the first storage means and sequentially displaying them on the screen, and the answer results for the question contents of each symptom item input on the screens sequentially displayed by the second display control means in response, the symptoms result determining means for determining results of each symptom, and a second storage means for storing the name of the disease candidate table candidate disease name is assigned to each every results symptoms The disease name candidate table stored by the second storage means, each result of each is determined symptoms by the fitting of the said symptoms result determining means includes a disease name candidate determining means for determining candidate disease name, a, the second question contents stored in the first storage means, for all symptoms items, against the symptoms, to a quantitative question about the amount, and qualitative question about the nature, characterized by comprising a time question about the time.

  According to the pathological condition determination apparatus of the present invention, the question content includes a quantitative question for asking a quantity, a qualitative question for asking a property, and a time question for asking time for a symptom indicated by a symptom item. Here, the present inventor judges the severity of symptoms themselves from three viewpoints of quantitative, qualitative, and temporal based on medical viewpoints, and integrates them to eliminate omissions. We found that candidate disease names can be extracted. That is, the present inventor has found that, in general, misdiagnosis by a doctor occurs, for example, by asking only the amount and determining without questioning the time or nature. Therefore, by inputting answers to questions from three viewpoints, the result of the symptom (the severity and the cause of the occurrence of the symptom (for example, the bronchi and the trachea when the symptom is "cough") Etc.) can be determined more accurately, and disease name candidates can be determined with higher accuracy by integrating these results and determining disease name candidates.

  Moreover, in this invention, it is preferable that the said quantitative question, the said qualitative question, and the said time question ask only about the symptom which the said symptom item shows.

  According to this pathological condition determination apparatus, the quantitative question, the qualitative question, and the time question ask only about the symptom indicated by the symptom item. Here, the present inventor further tends to easily generate a misdiagnosis by a doctor by asking a simultaneous question about a certain symptom and a symptom related to the symptom from a preconception at the time of an inquiry. I found out. Therefore, it can be said that each question asks only about the symptom, and preferably does not include the content that asks about the symptom indicated by other symptom items. By setting it as such a question, the result for every symptom can be judged more correctly, and it can be connected with judging a disease name candidate more accurately.

  Further, in the present invention, it further includes a third storage unit that stores a symptom result table for determining the result for each symptom, and the second display control unit includes the quantitative question, the qualitative question, and the time question. A plurality of options for selecting an answer are displayed for each of the symptom results, and the symptom result table shows correspondence between the options selected for each of the quantitative question, the qualitative question, and the time question and the result for each symptom. The symptom result judging means applies the options selected in each of the quantitative question, the qualitative question, and the time question to the symptom result table stored in the third storage means. It is preferable to determine the result for each symptom.

  According to this pathological condition determination device, for each of a quantitative question, a qualitative question, and a time question, a plurality of options for selecting an answer are displayed, and the selected option is applied to a symptom result table to determine a result for each symptom. To do. For this reason, when a character is input without displaying an option, for example, a text box is displayed, an unanswered answer may be input, and the result for each symptom is erroneously determined. Sometimes. However, if it is above, possibility that the result for every symptom will be judged erroneously can be reduced.

  In the present invention, there is provided third display control means for displaying a screen for prompting input of at least one attribute information of age and gender, and the first display control means is inputted when the attribute information is inputted. It is preferable that a symptom item corresponding to the attribute classification to which the attribute information belongs is extracted from a plurality of symptom items stored in advance, and a screen for selecting one or more symptom items from the extracted symptom items is displayed.

  According to this disease state determination apparatus, one or more symptom items corresponding to the attribute classification are displayed. For example, even if a symptom item of an infant under 1 year old includes “headache”, the infant cannot tell the presence or absence of a headache, which is a meaningless symptom item. In addition, even if the male symptom item includes “pain in the breast”, the symptom item is meaningless. As described above, by storing a plurality of symptom items based on a medical point of view according to at least one attribute information of age and sex, appropriate symptom items can be displayed for each age and gender.

  Further, in the present invention, according to the third display control means for displaying a screen for prompting input of at least one attribute information of age and sex, and the attribute classification indicating the classification of the attribute information, each of the plurality of symptom items And a fourth storage unit that stores options for the quantitative question, the qualitative question, and the time question, and the second display control unit includes an attribute to which the input attribute information belongs when the attribute information is input. It is preferable to read out and display the options corresponding to the classification from the fourth storage means.

  According to this disease state determination apparatus, options are stored according to attribute classification. For example, infants, toddlers and children tend to be hotter than adults. For this reason, for example, in infants, toddlers, and children, the choice of the quantitative question “how many fever?” In the “fever” symptom item is “37 ° C. or higher and lower than 38.5 ° C.” “38.5 ° C.” If three of these are appropriate, for adults, the options are “37 ° C. or higher and lower than 37.5 ° C.” “37.5 ° C. or higher and lower than 38.5 ° C.” “38.5 ° C. or higher” Is appropriate. Also, women tend to be more constipated than men. For this reason, for example, in a symptom item of “constipation” in a woman, the choices of the time question “when stool last appeared” are “2 days before today”, “3 days before 6 days”, “1 week or more” In the case where three such as “before” are appropriate, it is appropriate for a man to select “today”, “yesterday or the day before yesterday”, and “three days or more ago”. Thus, by storing the options according to the attribute classification, it is possible to make an appropriate selection according to age and sex.

  The disease state determination program of the present invention is a disease state determination program for causing a computer to function as the above-described disease state determination device.

  The computer-readable recording medium of the present invention is a computer-readable recording medium on which the above-described disease state determination program is recorded.

  According to these, it is possible to cause a computer to function as the above-described disease state determination device.

  ADVANTAGE OF THE INVENTION According to this invention, the disease state judgment apparatus which can judge the candidate of a disease name more accurately, a disease state judgment program, and the computer-readable recording medium which memorize | stored the program can be provided.

It is an external view which shows the disease state judgment apparatus which concerns on embodiment of this invention. It is a hardware block diagram which shows the disease state determination apparatus which concerns on this embodiment. It is a software block diagram which shows the disease state judgment apparatus which concerns on this embodiment. It is a conceptual diagram which shows the memory content of the symptom item memory | storage part shown in FIG. It is a conceptual diagram which shows the memory content of the question content memory | storage part shown in FIG. It is a conceptual diagram which shows an example of the memory | storage content of the option memory | storage part shown in FIG. 3, and has shown the example of an option when an attribute division is a male and a woman 13 years or older. It is a conceptual diagram which shows an example of the memory content of the option memory | storage part shown in FIG. 3, and has shown the example of the option when an attribute division is 12 years old or less. It is a conceptual diagram which shows an example of the memory content of the symptom result table memory | storage part shown in FIG. 3, and has shown the example of the symptom result table when an attribute classification | category is a man and a woman 13 years or older. It is a conceptual diagram which shows an example of the memory content of the symptom result table memory | storage part shown in FIG. 3, and has shown the example of the symptom result table when an attribute division is 12 years old or less. It is a conceptual diagram which shows an example of the memory content of the disease name candidate table memory | storage part shown in FIG. 3, and has shown the normal candidate table. It is a conceptual diagram which shows an example of the memory content of the disease name candidate table memory | storage part shown in FIG. 3, and has shown the specific candidate table. It is a front view which shows the screen displayed by the 3rd display control part shown in FIG. It is a front view which shows the screen which selects a symptom item, and has shown the 1st example. It is a front view which shows the screen which selects a symptom item, and has shown the 2nd example. It is a front view which shows the screen which displays the question content and choice, and has shown the 1st example. It is a front view which shows the screen which displays the question content and choice, and has shown the 2nd example. It is a front view which shows an example of the screen which shows a disease name candidate. It is a flowchart which shows an example of operation | movement of the pathological condition judgment apparatus which concerns on this embodiment, and has shown the first half part. It is a flowchart which shows an example of operation | movement of the pathological condition judgment apparatus which concerns on this embodiment, and has shown the second half part.

  Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings. However, the present invention is not limited to the embodiments. FIG. 1 is an external view showing a disease state determination apparatus according to an embodiment of the present invention. The disease state determination device 1 shown in FIG. 1 is realized as one function of a personal computer, for example, and determines a disease name candidate based on an answer result from an operator. Such a disease state determination apparatus 1 includes input means such as a keyboard 2 and a mouse 3 and determines a disease name candidate through an operation on the input means.

  In the following, an example in which the disease state determination device 1 is used in each home will be described. However, the disease state determination device 1 may be used not only in each home but also in other organizations such as medical institutions, local governments, and fire fighters. (Especially in medical institutions, it may be used to help doctors diagnose disease names). Moreover, if applicable, it may be used in places other than medical institutions and local governments. Furthermore, although this embodiment demonstrates the pathological condition determination apparatus 1 as 1 function of a personal computer, it is not restricted to this, The pathological condition determination apparatus 1 may be comprised by the system which consists of portable terminals, such as a smart phone, and a server.

  FIG. 2 is a hardware configuration diagram illustrating the disease state determination device 1 according to the present embodiment. As shown in FIG. 2, the disease state determination apparatus 1 includes a CPU (Central Processing Unit) 10, a display 20, a communication I / F (interface) unit 30, and an HDD (Hard Disk Drive) 50.

  The CPU 10 controls the entire disease state determination apparatus 1 according to the present embodiment, and includes a ROM (Read Only Memory) 10a and a RAM (Random Access Memory) 10b as shown in FIG. The ROM 10a is a read-only memory in which a disease state determination program for causing the disease state determination device 1 to function is stored. The RAM 10b is a readable / writable memory that stores various data and has an area necessary for processing operations of the CPU 10.

  The display 20 displays an input image obtained by operating the keyboard 2 or the mouse 3 or displays disease name candidates determined by the disease state determination device 1. The communication I / F unit 30 is an interface for communicating with other devices. The contents stored in each of the storage units 51 to 55 to be described later may be acquired from other devices through the communication I / F unit 30.

  The HDD 50 is an auxiliary storage device connected to the personal computer. Similar to the ROM 10a, the HDD 50 may store a pathological condition determination program for causing the pathological condition determination apparatus 1 to function. That is, the CPU 10 may realize each function of the disease state determination device 1 according to the present embodiment in accordance with a program stored in the HDD 50. If possible, a USB or the like may be provided instead of or in addition to the HDD.

  FIG. 3 is a software configuration diagram illustrating the disease state determination apparatus 1 according to the present embodiment. As illustrated in FIG. 3, the CPU 10 executes a disease state determination program stored in the ROM 10 a or the HDD 50 to thereby display the display control unit 11, a symptom result determination unit (symptom result determination unit) 12, and a disease name candidate determination unit (disease name). Candidate determining means) 13 functions.

  As shown in FIG. 3, the HDD 50 includes a symptom item storage unit 51, a question content storage unit (first storage unit) 52, an option storage unit (fourth storage unit) 53, and a symptom result table storage unit ( (Third storage means) 54 and a disease name candidate table storage section (second storage means) 55.

  The symptom item storage unit 51 stores a plurality of predetermined symptom items. FIG. 4 is a conceptual diagram showing the contents stored in the symptom item storage unit 51 shown in FIG. As shown in FIG. 4, the symptom item storage unit 51 stores X symptom items (X is an integer of 2 or more, and in the example shown in FIG. 4, is an integer of at least 22). The symptom item is an item indicating an abnormality occurring in a subject who determines a candidate for a disease name, for example, “having fever”, “coughing”, “habiting”, “headache”, “pain in breast” There are painful joints, diarrhea, constipation, runny nose, convulsions, etc.

  Furthermore, the symptom item storage unit 51 stores each symptom item in association with the attribute category. Here, the attribute classification is classification based on age and sex (attribute information classification), and in this embodiment, five attribute classifications are set. In the pathological condition determination apparatus 1 according to the present embodiment, attribute information indicating age and sex can be input to the pathological condition determination apparatus 1 through an operation on the keyboard 2 and the mouse 3. The pathological condition determination apparatus 1 determines which of the five attribute categories it belongs to based on the input age and sex.

  The five attribute categories are, for example, “0 to 11 months (first category)”, “1 to 3 years (second category)”, “4 to 12 years (third category)” and “male 13 years or older (fourth category). Category) ”and“ Female over 13 years old (5th category) ”. The symptom item storage unit 51 stores each symptom item in association with these five attribute categories. Specifically, for the 16th symptom item “headache”, “−” for “0 to 11 months”, “−” for “1 to 3 years”, and “4 to 12 years” “○” and “◯” for “13 years and older” and “○” for “13 and older” are stored. Similarly, for the 17th symptom item “pain in breast” “−” for “0 to 11 months”, “−” for “1 to 3 years”, “4 to 12 years” "-" For "13", "-" for "male and older" and "O" for "female 13 and older".

  In addition, in this embodiment, although attribute information means both age and sex, it is not restricted to this, Either one of age or sex may be sufficient. Needless to say, in either case, the attribute classification is different from that shown in FIG.

  FIG. 3 will be referred to again. The question content storage unit 52 stores the question content set for each of the plurality of symptom items. FIG. 5 is a conceptual diagram showing the storage contents of the question content storage unit 52 shown in FIG. As shown in FIG. 5, the question content storage unit 52 stores three types of questions, a quantitative question, a qualitative question, and a time question, for each of the plurality of symptom items shown in FIG. 4.

  Here, the quantitative question is a question about the amount. That is, the quantitative question is a question in which the number of times, temperature, frequency, etc. itself is an answer, for example, questions such as “how many times of cough per day?” It is.

  The time question is a question for asking time. That is, the time question is a question in which the time (including time, time, interval, and period) itself, such as how many days ago and when, is the answer, for example, “How many days ago was the fever?” “ Such as "When is the most severe time of cough?"

  A qualitative question is a question that asks about its nature. In more detail, a qualitative question is a question that asks about the nature of the symptom, that is, a question whose answer is neither quantity nor time. For example, “A dry cough?” “What color is a sputum?” Are qualitative questions.

  Note that one or more quantitative questions, qualitative questions, and time questions are set for each symptom item.

  For example, the question content storage unit 52 stores two quantitative questions, “How many times is the current heat?” And “How many times has it been done?” For the symptom item “having fever”. In addition, the question content storage unit 52 has one qualitative question “Will the heat fall at dawn?” And 1 “When did the heat start?” For the symptom item “having fever”. Remember one time question. Similarly, the question content storage unit 52 stores one or more quantitative questions, qualitative questions, and time questions for other symptom items.

  FIG. 3 will be referred to again. The option storage unit 53 stores options for selecting answers to quantitative questions, qualitative questions, and time questions for each of a plurality of symptom items. The option storage unit 53 stores options according to the attribute classification.

  6 and 7 are conceptual diagrams showing an example of the contents stored in the option storage unit 53 shown in FIG. 3, and FIG. 6 shows an example of options when the attribute classification is a man and a woman who are 13 years old or older. FIG. 7 shows an example of options when the attribute classification is 12 years or younger. In the examples shown in FIGS. 6 and 7, the options are common to the first to third categories, and the options are common to the fourth and fifth categories. The storage unit 53 may store different options for each attribute category.

  As shown in FIG. 6, the option storage unit 53 stores options when the attribute classification is a man and a woman who are 13 years old or older. For example, in the quantitative question 1 of the symptom item “having fever” (“how many is the current fever?”), “37.0 ° C. or more and less than 37.5 ° C.” is stored as the first option, and “37 “5 ° C. or higher and lower than 38.5 ° C.” is stored as the second option, and “38.5 ° C. or higher” is stored as the third option.

  Similarly, for example, in the qualitative question 1 of the symptom item “cough comes out” (“breathing after cough?”), The option storage unit 53 selects “the sound of breathing as“ hue ”” as the first option. And “says“ zeze ”” as a second option.

  Further, as shown in FIG. 7, the option storage unit 53 stores options when the attribute classification is 12 years old or less. For example, in the quantitative question 1 of the symptom item “having fever” (“how many times is the current fever?”), “37.0 ° C. or more and less than 38.5 ° C.” is stored as the first option, and “38 .5 ° C. or higher and lower than 39.5 ° C. ”is stored as the second option, and“ 39.5 ° C. or higher ”is stored as the third option.

  Similarly, for example, in the qualitative question 1 of the symptom item “cough comes out” (“breathing after cough?”), The option storage unit 53 selects “the sound of breathing as“ hue ”” as the first option. Are stored as the second option, and “becomes difficult to breathe” is stored as the third option.

  Refer to FIG. 3 again. The symptom result table storage unit 54 stores a symptom result table for determining a result for each symptom. This symptom result table stores a correspondence relationship between options selected for each of the quantitative question, the qualitative question, and the time question and the result for each symptom. Similar to the option storage unit 53, the symptom result table storage unit 54 stores a symptom result table having a correspondence relationship according to the attribute classification.

  8 and 9 are conceptual diagrams showing an example of the stored contents of the symptom result table storage unit 54 shown in FIG. 3, and FIG. 8 is a symptom result table when the attribute classification is a man and a woman who are 13 years old or older. FIG. 9 shows an example of a symptom result table when the attribute classification is 12 years old or less. In the examples shown in FIGS. 8 and 9, the symptom result table is common to the first to third sections, and the symptom result table is common to the fourth and fifth sections. Not limited to this, the symptom result table storage unit 54 may store different symptom result tables for each attribute category. 8 and 9 show a symptom result table for one symptom item (for example, “has fever”), but the symptom result table is not limited to one, and a symptom result table for each symptom item. The storage unit 54 stores a symptom result table.

  First, as described above, for the symptom item of “having fever”, two quantitative questions, one qualitative question, and one time question were set. Further, three options are provided for each of the two quantitative questions and one time question, and two options are provided for one qualitative question.

  For this reason, 3 × 3 × 2 × 3 = 54 patterns exist for the answer pattern. The symptom result table storage unit 54 stores the results (A1 to A54) for 54 answer patterns in association with each other. Specifically, when the attribute classification is a male and a female who are 13 years old or older, as shown in FIG. 8, all the options selected and answered in the quantitative question 1, the quantitative question 2, the qualitative question 1, and the time question 1 are the first options. In the case of “(1” in the figure), the result “A1” is stored in association with each other. Similarly, the option selected in the quantitative question 1, the quantitative question 2 and the qualitative question 1 is the first option, and the option selected in the time question 1 is the third option (indicated as “3” in the figure). ) Is stored in association with the result “A3”.

  Each of the results “A1” to “A54” may have different contents, or may have contents that are partially common. Each of the results “A1” to “A54” includes, as pathological information, severity and symptom occurrence location (for example, bronchi and trachea when the symptom is “cough”) ) And other information.

  In addition, when the attribute classification is 12 years old or less, as shown in FIG. 9, when the choices selected in the quantitative question 1, the quantitative question 2, the qualitative question 1, and the time question 1 are all the first choices For example, the result “A4” is stored in association with each other. Similarly, the option selected in the quantitative question 1, the quantitative question 2 and the qualitative question 1 is the first option, and the option selected in the time question 1 is the third option (indicated as “3” in the figure). ) Is stored in association with the result “A5”.

  As described above, even when the same option is selected as an answer, the result may differ depending on the attribute classification (of course, it may be the same).

  Refer to FIG. 3 again. The disease name candidate table storage unit 55 is obtained by assigning disease name candidates to the results for each symptom. FIG. 10 is a conceptual diagram showing an example of the contents stored in the disease name candidate table storage unit 55 shown in FIG. 3, and shows a normal candidate table. FIG. 11 is a conceptual diagram showing an example of the contents stored in the disease name candidate table storage unit shown in FIG. 3, and shows a specific candidate table.

  As shown in FIG. 10, the normal candidate table (disease name candidate table) is obtained by associating each result indicated by the symptom result table stored for each symptom item with a candidate for a disease name. If the result of “A” is A1, disease names α, β, γ, δ, ε are assigned as disease name candidates. If the result is A2, disease names β, γ, ε, ζ, and φ are assigned. Disease name candidates are similarly assigned to the other results A3 to A54. In addition, in the disease name candidate table, candidate disease names are similarly assigned to the results B1 to B44 of “coughing out” as shown in FIG. That is, disease name candidates are assigned to the results of other symptom items.

  Furthermore, the specific candidate table (disease name candidate table) shown in FIG. 11 is a table in which the result for each specific symptom is associated with the candidate for the disease name. For example, the result of “having fever” is A1, Assume that the result of “cough comes out” is B3. The specific candidate table stores a disease name that has a high possibility of occurring according to a combination of these results, and stores, for example, a disease name γ (for example, a cold). For example, if you catch a certain type of cold, a series of body changes occur, such as fever, cough, and runny nose. The specific candidate table stores a combination of such a series of body changes (results for each symptom) and a disease name in association with each other.

  In the specific candidate table, a specific combination of results corresponds to one disease name, but not limited to one disease name, a plurality of disease names may correspond. In addition, for a specific combination of results, more detailed information on the above-mentioned pathological conditions (severity and cause of occurrence of symptoms (for example, if the symptom is “cough”), More detailed information such as) is preferably stored in association with each other.

  FIG. 3 will be referred to again. The display control unit 11 controls the screen content to be displayed on the display 20, and includes a first display control unit (first display control unit) 11a, a second display control unit (second display control unit) 11b, and a third display unit. A display control unit (third display control means) 11c and a fourth display control unit 11d are provided.

  The third display control unit 11c displays a screen that prompts input of attribute information. FIG. 12 is a front view showing a screen displayed by the third display control unit 11c shown in FIG. As shown in FIG. 12, the third display control unit 11c displays a display for inputting a date of birth, a text box 20a for inputting the date of birth, a display for inputting a gender, and a gender. A check box 20b for input is displayed.

  The operator inputs the date of birth in the text box 20a and designates the gender by checking the check box 20b. Furthermore, when the operator designates the “next” button 20 c displayed on the screen, the attribute information is input to the disease state determination apparatus 1. Thus, the CPU 10 determines which attribute category corresponds to the input attribute information.

  FIG. 3 will be referred to again. The first display control unit 11 a displays a screen for selecting one or more symptom items from a plurality of setting items stored in the symptom item storage unit 51. In more detail, the 1st display control part 11a extracts the symptom item according to the attribute classification to which the input attribute information belongs from the several symptom item memorize | stored in the symptom item storage part 51, From the extracted symptom item A screen for selecting one or more symptom items is displayed. As a result, the display shown in FIGS. 13 and 14 is performed.

  13 and 14 are front views showing screens for selecting symptom items. FIG. 13 shows a first example, and FIG. 14 shows a second example.

  When the attribute classification is “female over 13 years old”, the first display control unit 11a displays “◯” in the attribute classification “female over 13 years old” among the storage contents of a plurality of symptom items as shown in FIG. Extract symptom items. And the 1st display control part 11a produces | generates a screen as shown in FIG. 13 based on the extracted symptom item, and displays it on the display 20. FIG. At this time, a symptom item “pain in breast” peculiar to a woman is displayed on the display 20.

  When the attribute classification is “0 to 11 months”, the first display control unit 11a selects “0 to 11 months” among the storage contents of the plurality of symptom items as shown in FIG. Extract the symptom items that are marked as “O”. And the 1st display control part 11a produces | generates a screen as shown in FIG. 14 based on the extracted symptom item, and displays it on the display 20. FIG. At this time, only the symptom items that can be confirmed by the guardian such as “having fever” and “having diarrhea” are displayed on the display 20.

  Here, for example, even if the symptom item of an infant under the age of 1 includes something like “headache”, the infant cannot tell the guardian whether or not he / she has a headache, which is a meaningless symptom item. . In addition, even if the male symptom item includes “pain in the breast”, the symptom item is meaningless. Thus, by extracting and displaying symptom items based on data as shown in FIG. 4, it is possible to present an appropriate symptom item to the operator for each age and sex.

  Further, as shown in FIG. 13 and FIG. 14, a check box 20 d for selecting this is displayed adjacent to each of the displayed symptom items. The operator can select a symptom item by checking a check box 20d displayed adjacent to the corresponding symptom. After the selection, the operator confirms the selection by designating a “next” button (not shown) and makes the disease state determination apparatus 1 recognize this information.

  FIG. 3 will be referred to again. The second display control unit 11b stores the question content set in the symptom item selected on the screen displayed by the first display control unit 11a (that is, the screen shown in FIGS. 13 and 14). The information is read from the unit 52 and sequentially displayed on the screen. At this time, the second display control unit 11b also displays an option for selecting an answer for each of the quantitative question, the qualitative question, and the time question. The displayed options are in accordance with the attribute classification, and the options stored in the option storage unit 53 are read out and displayed.

  15 and 16 are front views showing screens for displaying question contents and options, FIG. 15 shows a first example, and FIG. 16 shows a second example. Note that the examples shown in FIGS. 15 and 16 show screens when the symptom item “having fever” is selected.

  As shown in FIG. 15, for example, the second display control unit 11b may ask the question contents of the symptom item “having fever” “How many times is the current fever? (Quantitative question)” “How many times has it gone? (Quantitative question), “Will the heat fall in the morning? (Qualitative question),” “When did the fever begin? (Time question)” are displayed.

  Further, the second display control unit 11b displays options corresponding to the attribute classification for each question. The example shown in FIG. 15 shows options when the attribute classification is “male over 13 years old” and “female over 13 years old”, specifically “how many heats are there? (Quantitative question)”. In response to “How many times have you gone? (Quantitative question)”, the options are “37.0 ° C. or higher and lower than 37.5 ° C.” “37.5 ° C. or higher and lower than 38.5 ° C.” “38.5 ° C. or higher” It has become.

  The options for “Will the heat fall at dawn? (Qualitative question)” are “YES” and “NO”, and for “When did the heat start? (Time question)” “Yesterday”, “6 days ago from the day before yesterday” and “1 week ago”.

  On the other hand, the example shown in FIG. 16 shows options when the attribute classification is “0 to 11 months”, “1 to 3 years old”, and “4 to 12 years old”. (Quantitative question) and “How many times have you gone? (Quantitative question)”, the options are “37.0 ° C. or higher and lower than 38.5 ° C.”, “38.5 ° C. or higher and lower than 39.5 ° C.” It is “39.5 ° C. or higher”. That is, the contents of the options are different from the example shown in FIG.

  Note that the options for “Will the heat fall at dawn? (Qualitative question)” and “When did the heat start? (Time question)” are the same as those in the example shown in FIG.

  Further, as shown in FIGS. 15 and 16, a check box 20e is displayed adjacent to each option. The operator can select an option by checking a check box 20e displayed adjacent to the corresponding option. After selection, the operator determines the selected content by designating the OK button 20f, and causes the disease state determination apparatus 1 to recognize this information.

  When the OK button 20f is designated, a screen for displaying the question contents and options corresponding to the next symptom item is displayed by the second display control unit 11b. For example, when the operator has selected two symptom items of “having fever” and “coughing”, the question content and options for “having fever” are displayed, and the OK button 20f is designated. The second display control unit 11b displays the question content and options for the next symptom item “coughing out”.

  Then, the second display control unit 11b displays the question contents and options for all the selected symptom items, and sequentially displays the question contents and options for the symptom items until the OK button 20f is designated. .

  Here, the quantitative question, the qualitative question, and the time question are preferably questions about only the symptom indicated by the symptom item. That is, it is preferable that the quantitative question, the qualitative question, and the time question do not include the content for asking the symptom indicated by the other symptom items.

  The classification of the above symptom items is determined from a medical viewpoint. For example, as described above, the symptom items are determined in advance as “having fever”, “coughing”, “coughing”, etc., and in the question about the symptom item “coughing”, “ Does not include questions about “痰”. That is, the question of the cough item does not include “whether a cough is involved in cough?”.

  Here, sputum is normally discharged with cough. For this reason, for example, if the symptom item is previously classified as “having fever” or “coughing”, and the symptom item “coughing” is not set, A qualitative question may be asked: “Does cough get involved in sputum?” That is, the above-mentioned “what to ask about only the symptom” is based on the classification of symptom items that have already been defined, and one symptom item does not matter the content of other symptom items. Therefore, in the case where the symptom items are divided into “having fever”, “coughing”, and “coughing”, the question “Does coughing involve coughing?” It can not be said. On the other hand, if the symptom item “having fever” and “coughing” is not set, and the symptom item “whether is coughing” is not set, "A question about only".

  Note that whether or not the device itself sets “sprouting” as a symptom item is determined from a medical viewpoint as described above. Considering that medical science advances day by day, for example, the symptom of “habit” may or may not be set as a symptom item. Similarly, other symptoms may or may not be set as symptom items.

  FIG. 3 will be referred to again. The symptom result determination unit 12 determines the result for each symptom according to the answer result to the question content of each symptom item input on the screen sequentially displayed by the second display control unit 11b. In more detail, the symptom result determination unit 12 applies the options selected in each of the quantitative question, the qualitative question, and the time question to the symptom result table stored in the symptom result table storage unit 54, thereby obtaining the result for each symptom. Judging.

  Here, in this embodiment, it is preferable that the symptom result determination unit 12 determines the result for each symptom after appropriately adjusting the answer result. There may be individual differences in response results. For example, in response to the quantitative question “What is the current heat?” For “I have a fever”, an exaggerated person who actually has a heat of 38 ° C. has the option of “39.5 ° C. or higher”. May choose. Conversely, a modest person may select the option “37.0 ° C. or higher and lower than 38.5 ° C.”. Also, not only people who intentionally choose exaggeration or modest people, such as exaggerated people or modest people, but they can not stand that they are suffering and respond to exaggeration, or simply respond to exaggeration from misunderstanding Some people. Therefore, the present apparatus 1 stores the tendency of each candidate for determination of disease name candidates as a coefficient, for example, and appropriately adjusts the answer result according to the coefficient. The adjustment target is not limited to the answer result of the quantitative question, but also includes a qualitative question and a time question. This is because the result for each symptom can be determined more appropriately. As for the coefficients, for example, those directly inputted by a doctor or the like may be stored, or the coefficient may be calculated by an arithmetic expression or the like based on the relationship between the past answers when the apparatus 1 is used and the disease name actually affected. It may be obtained and stored.

  The disease name candidate determination unit 13 determines a disease name candidate by applying the result for each symptom determined by the symptom result determination unit 12 to the disease name candidate table stored in the disease name candidate table storage unit 55. Here, the objects to be applied are both the normal candidate table as shown in FIG. 10 and the specific candidate table as shown in FIG.

  As described above, in the disease name candidate table, disease name candidates are assigned to the respective symptom results. Specifically, in the normal candidate table shown in FIG. 10, the disease name candidates of the result A1 correspond to the disease names α, β, γ, δ, and ε, and the disease name candidates of the result B3 correspond to the disease names γ, δ, and ε. φ and ε correspond. Furthermore, in the specific candidate table shown in FIG. 11, a disease name γ corresponds to a disease name candidate as a combination of the result A1 and the result B3. Therefore, when the operator selects “having fever” and “cough” as the symptom items, and the results of the symptom items are A1 and B3, the disease name candidate determination unit 13 The disease name candidates are integrated, and the disease name candidates are determined as disease names α, β, γ, δ, ω, φ, ε. In particular, the disease name candidate determination unit 13 has the disease name γ as both candidates of the results A1 and B3 in the normal candidate table, and is also listed as a disease name candidate as a combination of the results A1 and B3 in the specific candidate table. Therefore, it is judged that it is the name of the disease most likely to be affected.

  Furthermore, another example will be described. For example, in the normal candidate table shown in FIG. 10, disease name candidates γ, δ, ω, and φ correspond to disease name candidates of result A54, and disease names θ, ω, and ε correspond to disease name candidates of result B1. . For this reason, when the operator selects “having fever” and “coughs” as the symptom items, and the results of the respective symptom items are A54 and B1, the disease name candidate determination unit 13 The disease name candidates are integrated, and the disease name candidates are determined as disease names γ, δ, ω, φ, θ, ε. At this time, as shown in the specific candidate table of FIG. 11, there is no combination of the result A54 and the result B1, and there is no disease name candidate. Therefore, the disease name candidate determination unit 13 determines disease name candidates as disease names γ, δ, ω, φ, θ, ε only from the normal candidate table. In this case, since the disease name ω is a candidate for both the results A54 and B1, the disease name candidate determination unit 13 determines that the disease name is most likely to be affected.

  The fourth display control unit 11d displays the disease name candidates determined by the disease name candidate determination unit 13 on the screen. FIG. 17 is a front view showing an example of a screen showing disease name candidates. The fourth display control unit 11 d displays, for example, the symptom results determined by the symptom result determination unit 12 and the disease name candidates determined by the disease name candidate determination unit 13. Specifically, as shown in FIG. 17, the fourth display control unit 11d, for example, “The pharynx is inflamed. We recommend that you visit a medical institution. Possible disease names include cold, pharyngitis, and influenza. Is displayed. " Here, “pharynx is inflamed” corresponds to the result of each symptom. When there are a plurality of results for each symptom, all of them may be displayed, or only one may be displayed as shown in FIG. Furthermore, the fourth display control unit 11d also displays an “end” button 20g. In addition, it is preferable to display the candidate of the disease name displayed in an order from the thing with the high possibility of being affected. In this case, it is necessary to add possibility information to each disease name shown in the normal candidate table of FIG. That is, regarding the result A54 in FIG. 10, by adding information such as the disease name γ is the X point, the disease name δ is the Y point, and the disease name ω is the Z point, the information can be displayed in descending order of possibility. Furthermore, like the result A54 and the result B1, for the disease name ω, it is preferable to add the possibility point of the result A54 and the possibility point of the result B1. In addition, information on points larger than the points stored in the normal candidate table is given to the disease names listed in the specific candidate table, and this is added. Therefore, when the result A1 and the result B3 are obtained, the point of the disease name γ is an overwhelmingly higher numerical value than other disease names.

  In addition, as shown in FIG. 17, the fourth display control unit 11 d displays, for example, “however, items that are probabilistically low but should not be overlooked are pemphigus and pharyngeal cancer”. Let In this case, criticality information needs to be added to each disease name shown in the normal candidate table of FIG. For example, for the result A54 in FIG. 10, information such as a disease name γ is x points, a disease name δ is y points, and a disease name ω is z points. The criticality information is similarly added to the other results A1 to A53. Furthermore, not only the normal candidate table but also the specific candidate table shown in FIG. 11 needs to add criticality information to each disease name. Then, the fourth display control unit 11d displays that a disease name having a criticality level equal to or higher than a predetermined point should not be overlooked. That is, in the example shown in FIG. 17, it is displayed that pemphigus and pharyngeal cancer should not be overlooked.

  The operator designates the “end” button 20g after recognizing a disease name or the like displayed on the screen. As a result, the CPU 10 returns to the attribute information input screen shown in FIG. 12, for example.

  Next, the operation of the disease state determination apparatus 1 according to the present embodiment will be described. 18 and 19 are flowcharts showing an example of the operation of the pathological condition determination apparatus 1 according to the present embodiment. FIG. 18 shows the first half and FIG. 19 shows the second half.

  As shown in FIG. 18, first, the third display control unit 11c displays an attribute information input screen (S1). At this time, the third display control unit 11c displays a screen as shown in FIG. 12, for example. Then, the CPU 10 determines whether attribute information has been input (S2). In the case of the example shown in FIG. 12, the CPU 10 determines whether the “next” button 20c has been designated with the date of birth entered in the text box 20a and the check box 20b checked. .

  If it is determined that no attribute information has been input (S2: NO), the process proceeds to step S1. On the other hand, when it is determined that the attribute information has been input (S2: YES), the first display control unit 11a displays a symptom item selection screen (S3). At this time, the first display control unit 11a displays a symptom item selection screen corresponding to the attribute classification, for example, as shown in FIGS.

  Thereafter, the CPU 10 determines whether a symptom item has been selected (S4). In the example shown in FIG. 13 and FIG. 14, the CPU 10 checks one or more of the check boxes 20d arranged adjacent to the symptom item, and designates a “next” button (not shown). It will be judged.

Next, the CPU 10 sets i _max as the selected number of the plurality of symptom items displayed in step S3 (S5). That is, in the example shown in FIGS. 13 and 14, the CPU 10 sets the number of checked check boxes 20d to i _max . Thereafter, the CPU 10 initializes the variable i to “1” (S6).

  Next, the second display control unit 11b reads the question and option of the i-th symptom item (S7), and displays a question / option screen based on the read data (S8). At this time, the second display control unit 11b displays a screen including options according to the attribute classification, for example, as illustrated in FIGS.

  Thereafter, the CPU 10 determines whether or not there is an answer (S9). In the example illustrated in FIGS. 15 and 16, the CPU 10 determines whether the OK button 20 f is specified for each question while one of the check boxes 20 e adjacent to the option is checked.

  When it is determined that there is no answer (S9: NO), this process is repeated until it is determined that there is an answer. On the other hand, when it is determined that there is an answer (S9: YES), the symptom result determination unit 12 performs answer adjustment (S10). This answer adjustment is performed based on the tendency of the person who responds with exaggeration or the person who responds sparingly as described above, and is adjusted based on, for example, a coefficient reflecting such a tendency. If no coefficient is stored for the determination target person of the disease name candidate who is performing the current process, the answer adjustment process is not executed, and the process proceeds to step S11.

  Then, the symptom result determination unit 12 determines the result of the symptom based on the (adjusted) answer (S11). At this time, the symptom result determination unit 12 reads the symptom result table of the i-th symptom item corresponding to the attribute classification, applies the selected option to the table, and determines the result of the symptom.

Next, the CPU 10 determines whether or not the variable i is i _max (S12). When determining that the variable i is not i _max (S12: NO), the CPU 10 increments the variable i (S13), and the process proceeds to step S7 shown in FIG. That is, the variable i is incremented by “1”, and the question and the option are read for the number of symptom items after the addition.

On the other hand, when it is determined that the variable i is i _max (S12: YES), the disease name candidate determination unit 13 corresponds to the specific combination indicated in the specific candidate table by the result for each symptom determined in step S11. (S14). When it is determined that it is applicable (S14: YES), the disease name candidate determination unit 13 extracts a disease name corresponding to a specific combination from the specific candidate table (S15). Then, the process proceeds to step S16.

  On the other hand, if it is determined that the combination does not correspond to the specific combination shown in the specific candidate table (S14: NO), the process proceeds to step S15, and the disease name candidate determination unit 13 displays the result for each symptom determined in step S11. By applying to the normal candidate table shown in FIG. 10, disease name candidates are extracted (S16).

  And the 4th display control part 11d displays the disease name candidate extracted in step S15 and step S16 (S17). Then, the processing shown in FIGS. 18 and 19 ends. Note that when the fourth display control unit 11d displays a screen as shown in FIG. 17, the processing shown in FIGS. 18 and 19 is performed when the operator designates the “end” button 20g. It will end. In addition, as shown in FIG. 17, it is preferable to display not only the disease name candidates but also the results for each symptom.

  Thus, according to the pathological condition determination apparatus 1, the pathological condition determination program, and the computer-readable recording medium on which the program is recorded according to the present embodiment, the question content is the amount of the symptom indicated by the symptom item. It consists of a quantitative question to ask, a qualitative question to ask about properties, and a time question to ask about time. Here, the present inventor judges the severity of symptoms themselves from three viewpoints of quantitative, qualitative, and temporal based on medical viewpoints, and integrates them to eliminate omissions. We found that candidate disease names can be extracted. That is, the present inventor has found that, in general, misdiagnosis by a doctor occurs, for example, by asking only the amount and determining without questioning the time or nature. Therefore, by inputting answers to questions from three viewpoints, the result of the symptom (the severity and the cause of the occurrence of the symptom (for example, the bronchi and the trachea when the symptom is "cough") Etc.) can be determined more accurately, and disease name candidates can be determined with higher accuracy by integrating these results and determining disease name candidates.

  In addition, the quantitative question, the qualitative question, and the time question are questions only about the symptom indicated by the symptom item. Here, the present inventor further tends to easily generate a misdiagnosis by a doctor by asking a simultaneous question about a certain symptom and a symptom related to the symptom from a preconception at the time of an inquiry. I found out. Therefore, it can be said that each question asks only about the symptom, and preferably does not include the content that asks about the symptom indicated by other symptom items. By setting it as such a question, the result for every symptom can be judged more correctly, and it can be connected with judging a disease name candidate more accurately.

  For each of the quantitative question, the qualitative question, and the time question, a plurality of options for selecting an answer are displayed, and the selected option is applied to the symptom result table to determine the result for each symptom. For this reason, when a character is input without displaying an option, for example, a text box is displayed, an unanswered answer may be input, and the result for each symptom is erroneously determined. Sometimes. However, if it is above, possibility that the result for every symptom will be judged erroneously can be reduced.

  In addition, one or more symptom items corresponding to the attribute classification are displayed. For example, even if a symptom item of an infant under 1 year old includes “headache”, the infant cannot tell the presence or absence of a headache, which is a meaningless symptom item. In addition, even if the male symptom item includes “pain in the breast”, the symptom item is meaningless. Thus, by storing a plurality of symptom items corresponding to at least one of age and sex attribute information, appropriate symptom items can be displayed for each age and sex.

  Also, options are stored according to the attribute classification. For example, infants, toddlers and children tend to be hotter than adults. For this reason, for example, in infants, toddlers, and children, the choice of the quantitative question “how many fever?” In the “fever” symptom item is “37 ° C. or higher and lower than 38.5 ° C.” “38.5 ° C.” If three of these are appropriate, for adults, the options are “37 ° C. or higher and lower than 37.5 ° C.” “37.5 ° C. or higher and lower than 38.5 ° C.” “38.5 ° C. or higher” Is appropriate. Also, women tend to be more constipated than men. For this reason, for example, in a symptom item of “constipation” in a woman, the choices of the time question “when stool last appeared” are “2 days before today”, “3 days before 6 days”, “1 week or more” In the case where three such as “before” are appropriate, it is appropriate for a man to select “today”, “yesterday or the day before yesterday”, and “three days or more ago”. Thus, by storing the options according to the attribute classification, it is possible to make an appropriate selection according to age and sex.

  As described above, the present invention has been described based on the embodiment, but the present invention is not limited to the above embodiment, and may be modified without departing from the gist of the present invention.

  For example, although the pathological condition determination apparatus 1 according to the present embodiment is realized by one personal computer, the concept is not limited to this and includes an automatic medical examination system realized by connecting a plurality of computers to a network.

  In addition, the program for causing the disease state determination device 1 to function in the present embodiment is not limited to the recording medium of the ROM 10a, HDD 50, USB, and other devices, but other types of recording media such as CD-ROM and CD-R. May be stored.

  Furthermore, in the present embodiment, in the pathological condition determination apparatus 1, the attribute information is not limited to both age and sex, and may be either one. Further, the apparatus 1 may be constructed so as to correspond to all ages and sexes without requiring input of attribute information.

  Furthermore, in this embodiment, if at least two or more symptom items are not selected, an error occurs and the subsequent processing may not be executed.

  In the above embodiment, the contents of the quantitative question, the qualitative question, and the time question are common among the attribute categories, but are not limited thereto, and are preferably different depending on the attribute category.

1: Disease state determination device 2: Keyboard 3: Mouse 10: CPU
10a: ROM
10b: RAM
11: Display control unit 11a: First display control unit (first display control means)
11b: 2nd display control part (2nd display control means)
11c: 3rd display control part (3rd display control means)
11d: 4th display control part 12: Symptom result judgment part (symptom result judgment means)
13: Disease name candidate determination unit (disease name candidate determination means)
20: Display 20a: Text box 20b: Check box 20c: Button 20d: Check box 20e: Check box 20f: OK button 20g: Button 30: Communication I / F unit 50: HDD
51: Symptom item storage unit 52: Question content storage unit (first storage means)
53: Option storage unit (fourth storage means)
54: Symptom result table storage section (third storage means)
55: Disease name candidate table storage unit (second storage means)

Claims (7)

A pathological condition determination device that determines a candidate for a disease name based on an answer result from an operator,
First display control means for displaying a screen for selecting one or more symptom items from a plurality of predetermined symptom items;
First storage means for storing contents of questions set in each of the plurality of symptom items;
Second display control means for reading the question content set in the symptom item selected on the screen displayed by the first display control means from the first storage means and sequentially displaying the screen;
Symptom result determination means for determining the result of each symptom according to the answer result to the question content of each symptom item input on the screen sequentially displayed by the second display control means;
Second storage means for storing a disease name candidate table in which disease name candidates are assigned to each of the results for each symptom;
A disease name candidate determination unit that determines a disease name candidate by applying each result of each symptom determined by the symptom result determination unit to the disease name candidate table stored by the second storage unit;
Question contents stored in the first storage means, for all symptoms scores, and characterized against the symptom, and quantitation question about the amount, and qualitative question about the nature, in that it consists of a time question about the time To determine the pathological condition. The pathological condition determination apparatus according to claim 1, wherein the quantitative question, the qualitative question, and the time question are questions only about a symptom indicated by the symptom item. Third storage means for storing a symptom result table for determining the result for each symptom,
The second display control means displays a plurality of options for selecting an answer for each of the quantitative question, the qualitative question, and the time question,
The symptom result table shows a correspondence relationship between options selected in each of the quantitative question, the qualitative question, and the time question, and a result for each symptom,
The symptom result determination means applies the options selected in each of the quantitative question, the qualitative question, and the time question to a symptom result table stored in the third storage means, and determines a result for each symptom. The pathological condition judging device according to claim 1 or 2, characterized by: A third display control means for displaying a screen prompting input of attribute information of at least one of age and sex;
When the attribute information is input, the first display control unit extracts a symptom item corresponding to the attribute category to which the input attribute information belongs from a plurality of symptom items stored in advance, and 1 from the extracted symptom item The pathological condition determination apparatus according to any one of claims 1 to 3, wherein a screen for selecting two or more symptom items is displayed. Third display control means for displaying a screen prompting input of attribute information of at least one of age and gender;
According to the attribute classification indicating the classification of the attribute information, the fourth storage means for storing options for the quantitative question, the qualitative question, and the time question for each of the plurality of symptom items,
The said 2nd display control means reads the option according to the attribute classification to which the input attribute information belongs from the said 4th memory means, and displays it when the said attribute information is input. The disease state determination device described.   A disease state determination program for causing a computer to function as the disease state determination device according to any one of claims 1 to 5.   A computer-readable recording medium on which the disease state determination program according to claim 6 is recorded.

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