JP2011070405A - Device and method for analyzing development risk, and computer program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To perform the analysis of an actual development risk, and to effectively achieve the simulation of a development risk after the improvement of a lifestyle. <P>SOLUTION: A development risk analysis device includes a development probability prediction part 130 for predicting the actual development probability of a prescribed disease in the future based on inspection and oral consultation data 121, and a display device 103 is made to display a risk display part including the display of the level of the actual development risk of a prescribed disease based on the predicted actual development probability. When the risk display part is displayed, the change input of one or more risk factor items associated with the prescribed disease is accepted, and the virtual development probability of the prescribed disease is predicted based on the data after the development probability prediction part 130 is changed. The display device 103 is made to display a simulation display part including display showing the level of the virtual development risk of the prescribed disease in the future based on the predicted virtual development probability. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to an onset risk analysis apparatus, an onset risk analysis method, and a computer program.

  At the beginning of the onset of lifestyle-related diseases such as diabetes, ischemic heart disease, hypertension, and hyperlipidemia, patients have poor subjective symptoms. Therefore, early detection and early treatment of these diseases are generally difficult.

  Even if lifestyle-related diseases are detected at an early stage, it is often difficult to comply with basic treatments such as diet, exercise therapy, and medication. Furthermore, there are many interruptions in treatment due to patient self-judgement.

  For this reason, the need for thorough guidance to patients regarding lifestyle-related diseases is advocated. There is also a need for effective education aimed at improving lifestyle habits to prevent onset.

  Under such circumstances, for example, various disease treatment guidance systems (onset risk analyzers) that support the treatment and prevention of lifestyle-related diseases have been proposed (see, for example, Patent Document 1).

Japanese Patent Laid-Open No. 2002-24401

  By the way, when using the onset risk analyzer, doctors conduct various interviews with patients (age, presence of drinking / smoking habits, exercise habits, etc.), and various tests (height / weight, ECG) , Cholesterol levels, etc.).

  At this time, the lifestyle risk improvement device is equipped not only with the function of analyzing the actual risk of onset of a given disease but also with the function of simulating the risk of onset when the value of a specific test item is improved. It is effective to do. In other words, by performing counseling while simulating with the onset risk analyzer, it becomes possible to perform clear goals and motivation for improving the lifestyle for the patient.

  However, the risk factor items that have a large effect on the onset vary from disease to disease. Therefore, if an operator who is not familiar with risk factor items for each disease performs an operation, an effective simulation may not always be performed.

  Therefore, an object of the present invention is to provide a technique for effectively analyzing an onset risk after improving lifestyle habits while analyzing an actual onset risk.

  An onset risk analyzer according to one embodiment of the present invention includes an input unit that receives input of a plurality of items of data related to a subject's health, and a predetermined disease in the future based on input data that the input unit has received. A first means for displaying on a display device a first screen including a prediction means for predicting an actual onset probability and a display indicating a degree of an actual onset risk of the predetermined disease based on the predicted actual onset probability; A changing means for accepting a change input of the input data of one or more risk factor items related to the predetermined disease among the plurality of items when the first screen is displayed; and the change Simulation means for predicting the virtual onset probability of the predetermined disease based on the data after being changed by the means, and based on the predicted virtual onset probability. Ku, the second screen including a display indicating the degree of virtual risk of the predetermined disease in the future, and a second display means for displaying on said display device.

  In a preferred embodiment, the risk factor item is displayed, and when there are a plurality of the risk factor items, a third screen that displays the degree of influence of each risk factor item on the predetermined disease in an identifiable manner. The display may further include a third display unit that displays a change input, and the change unit may receive a change input on the third screen.

  In a preferred embodiment, the third screen displays the input data of the plurality of items received by the input means, and when a predetermined operation is received from a user, the risk factor item is the risk factor item. It may be displayed so as to be distinguishable from other items.

  In a preferred embodiment, the display indicating the actual onset risk level and the display indicating the virtual onset risk level are displays indicating the level of risk with respect to the average onset risk by sex and age of the subject. May be.

  In a preferred embodiment, the display indicating the actual onset risk level and the display indicating the virtual onset risk level indicate how many years the actual onset probability and the virtual onset risk correspond to. It may be a display.

  In a preferred embodiment, the changing means may accept a change input of the input data of the one or more risk factor items by a slide bar displayed on the third screen.

  In a preferred embodiment, comment input means for accepting input of a comment, at least a display indicating the actual onset risk level, a display indicating the virtual onset risk level, and a comment received by the comment input means And a printing unit that prints a report including:

It is a block block diagram of the onset risk analyzer which concerns on one Embodiment of this invention. FIG. 6 is a diagram showing the contents of a definition table 60. It is a figure which shows the content of the average value table. It is a figure which shows the content of the onset probability table. It is a figure which shows an example of the input screen. 5 is a diagram illustrating an example of an onset probability / simulation screen 300. FIG. It is a figure which shows an example of the onset probability and simulation screen 300 on which the risk factor display part 340 is displayed. It is a flowchart which shows the process sequence performed by the risk analyzer which concerns on one Embodiment of this invention.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

  FIG. 1 is a block configuration diagram of an onset risk analyzer according to an embodiment of the present invention.

  The onset risk analysis apparatus according to the present embodiment includes an onset risk analysis apparatus main body 100, an input device 102, a display device 103, and a printer 104.

  The onset risk analysis apparatus main body 100 is configured by, for example, a general-purpose computer system, and individual components or functions in the onset risk analysis apparatus main body 100 described below are realized by, for example, executing a computer program. . This computer program can also be stored in a computer-readable recording medium.

  The onset risk analysis apparatus main body 100 includes an input / output control unit 110, a subject data storage unit 120, an onset probability prediction unit 130, an age conversion unit 140, a reference risk conversion unit 150, a report generation unit 160, a definition table 60, and an average value table 70. And an onset probability table 80.

  The input / output control unit 110 controls input / output with respect to the input device 102, the display device 103, and the printer 104.

  The subject data storage unit 120 stores (stores) examination / inquiry data 121, onset probability data 123, simulation input data 125, and simulation result data 127 as subject data.

  The examination / inquiry data 121 is data related to the examination result and the inquiry of the subject input through the input screen 200 (see FIG. 5).

  The onset probability data 123 is data indicating the actual onset probability for a predetermined disease of the subject predicted by the onset probability prediction unit 130.

  The simulation input data 125 is input data for performing a simulation. As will be described later, the simulation input data 125 is data obtained by changing the examination / inquiry data 121 on the onset probability / simulation screen 300 (see FIG. 6).

  The simulation result data 127 is data indicating a result of the onset probability prediction unit 130 simulating the onset probability for a predetermined disease based on the simulation input data 125.

  FIG. 2 is a diagram showing the contents of the definition table 60.

  The definition table 60 shown in FIG. 2 is a table for defining data items. The definition table 60 includes a disease common definition 61 and a disease-specific definition 63. The common disease definition 61 includes a classification 611 indicating either the contents of an inquiry or a test result, a data item name 612, a data input format 613, and an option / input method 614 as data items. The disease-specific definition 63 includes an operator input item 631, a simulation target item 632, a parameter 633, and a simulation influence level 634 as data items.

  The data input format 613 indicates whether each data item is a selection item that presents an option or an input item that accepts an input of a numerical value or the like. The option / input method 614 indicates a data type that accepts an option for the selected item and an input for the input item.

  In the operator input item 631, “◯” is added to an item for accepting an input on the input screen 200. In the simulation target item 632, “◯” is added to the data item used in the simulation of the target disease. The parameter 634 is a parameter for each item used when the onset probability prediction unit 130 predicts the onset probability. The simulation influence degree 634 indicates an item having a large influence degree on the simulation result when the onset probability prediction unit 130 performs the simulation. For example, in the example of FIG. 2, “1” to “3” are registered in descending order of influence. That is, the item for which the simulation influence degree 634 is set is a risk factor that has a large influence on each disease.

  FIG. 3 is a diagram showing the structure of the average value table 70 in FIG.

  The average value table 70 shown in FIG. 3 stores average values for data items including risk factors by gender and age. For example, as shown in the figure, each average value for each item of men and women of each age is stored in increments of 5 years. This average value table 70 is used as supplementary data when data on essential items are not input when the onset probability prediction unit 130 performs prediction. In the example of the figure, notation of values in the table is omitted.

  The onset probability predicting unit 130 predicts the actual onset probability of a predetermined disease in the future based on examination / inquiry data 121 (input data) received on the input screen 200 described later. For example, the onset probability prediction unit 130 predicts the onset probability of a predetermined disease 10 years later using the proportional hazard method. When the onset probability prediction unit 130 predicts the onset probability, the definition table 60 and the average value table 70 are referred to. For example, the onset probability prediction unit 130 acquires a parameter 633 necessary for each target disease from the definition table 60 and predicts the onset probability. At this time, when the input item essential for the onset probability prediction unit 130 to predict the onset probability is not input, the value of the uninput item is acquired from the average value table 70 and predicted. The actual onset probability calculated here is stored as onset probability data 123.

  In addition, the onset probability prediction unit 130 predicts a virtual onset probability of a predetermined disease based on data after one or more risk factor items related to the predetermined disease are changed in the examination / inquiry data 121. I do. The onset probability prediction unit 130 performs a simulation using the same calculation method as that used when the actual onset probability is calculated, and predicts the virtual onset probability of the subject. For example, the onset probability prediction unit 130 predicts the virtual onset probability of the subject based on the simulation input data 125 input on the onset probability / simulation screen 300. This virtual onset probability is stored as simulation result data 127.

  FIG. 4 is a diagram showing the structure of the onset probability table 80 in FIG.

  The onset probability table 80 shown in FIG. 4 stores average values of onset probabilities for each gender and age. For example, in the case of the figure, the average values of the onset probability by age group by gender are stored for ischemic heart disease and diabetes. In the example of the figure, notation of values in the table is omitted.

  The age conversion unit 140 refers to the onset probability table 80 and converts the onset probability calculated by the onset probability prediction unit 130 into an age. For example, the age conversion unit 140 refers to the onset probability table 80 to determine the age of onset probability that the onset probability calculated by the onset probability prediction unit 130 is.

  The reference risk conversion unit 150 refers to the onset probability table 80 and converts the onset probability calculated by the onset probability prediction unit 130 into a reference risk indicating how many times the average value of the same-sex age group. For example, the reference risk conversion unit 150 refers to the onset probability table 80 and compares the onset probability of a subject calculated by the onset probability prediction unit 130 with an average value of the same age as the subject to predict the onset probability. The reference risk based on the onset probability calculated by the unit 130 is calculated.

  The display device 103 displays a display screen shown in FIGS. An operator such as a doctor inputs necessary items on the display screen of the display device 103 using the input device 102. The printer 104 prints out the report generated by the report generation unit 160.

  FIG. 5 is a diagram illustrating an example of the input screen 200 displayed on the display device 103.

  The input screen 200 has an input area for receiving input of a plurality of items of data related to the health condition of the subject. The input screen 200 corresponds to the input item 612, the format 613, and the options 614 of the definition table 60. That is, the input screen 200 accepts input of a plurality of items of data related to the health condition of the subject. Here, ischemic heart disease and diabetes are targeted as lifestyle-related diseases. Input to the input screen 200 is made by an input device (for example, a mouse or keyboard of a personal computer) 102.

  FIG. 6 is a diagram showing an example of the onset probability / simulation screen 300 displayed on the display device 103 in FIG.

  The onset probability / simulation screen 300 includes a risk display unit 310 (first screen), a simulation display unit 320 (second screen), and a data item display unit 330 (third screen).

  The risk display unit 310 includes a display that indicates the actual onset risk level of the predetermined disease based on the actual onset probability predicted by the onset probability prediction unit 130.

  The simulation display unit 320 includes a display indicating the degree of the virtual onset risk of the predetermined disease in the future based on the virtual onset probability predicted by the onset probability prediction unit 130.

  The display showing the actual onset risk level and the display showing the virtual onset risk level in the risk display unit 310 and the simulation display unit 320 are displays showing the risk level with respect to the onset risk average by sex and age of the subject. is there. Moreover, the display which shows the extent of an actual onset risk, and the display which shows the extent of a virtual onset risk are displays which show what age generation the actual onset probability and virtual onset risk correspond to.

  That is, the risk display unit 310 and the simulation display unit 320 do not display the onset probability of the predetermined disease calculated by the onset probability prediction unit 130 as they are, but display the age corresponding to the onset probability converted by the age conversion unit 140. Display 311 and 321, reference risk displays 312 and 322 for the same-sex age-related probability average converted by the reference risk conversion unit 150, risk meters 313 and 323 indicating the level of risk, and face displays 314 and 324 are included.

  In the example of FIG. 6, the risk display unit 310 has the same risk as that of an average person who is currently 70 years old with respect to ischemic heart disease for a subject who is 40 years old (age display 311). The risk of onset is 3.2 times that of the average person who is 40 years old at present (reference risk display 312). In addition, regarding diabetes, it is the same as the onset risk of the average person who is currently 70 years old (age display 311), indicating that the onset risk is three times that of the average person currently 40 years old. (Reference risk display 312). In addition, a risk meter 313 and a cloudy face display 314 are also included to allow the subject to visually grasp that the risk of onset after 10 years is high.

  Further, in the simulation display unit 320, a risk factor item is displayed in the data item display unit 330 or the risk factor display unit 340 described below so that the risk of onset can be suppressed for a subject who is 40 years old. When the input data is changed, the risk of developing diabetes after 10 years is the same as the risk of developing for a person who is 45 years old now (age display 321), and the risk of developing the disease compared to the average person who is currently 40 years of age. Is displayed as 1.2 times (reference risk display 322). That is, by improving the lifestyle so that the value of the risk factor item becomes the value after the change, the onset risk is reduced from 3 times to 1.2 times.

  The data item display unit 330 displays the examination / inquiry data 121. When the risk display unit 310 is displayed, the data item display unit 330 inputs change input to the test / interview data 121 of one or more risk factor items related to a predetermined disease among the items of the test / interview data 121. Accept. For example, the data item display unit 330 can accept change inputs for all items of the examination / interrogation data 121 including the risk factor items for ischemic heart disease or diabetes displayed here.

  Further, when the data item display unit 330 receives a predetermined operation from the user, the risk factor item is displayed so as to be distinguishable from items other than the risk factor item among the items of the examination / interrogation data 121. For example, when the user selects a region of the simulation display unit 320 while the data item display unit 330 is being displayed, the transition is made to the risk factor display unit 340 shown in FIG.

  Referring to FIG. 7, risk factor display unit 340 (third screen) is a screen on which items other than risk factors disappear from data item display unit 330 and only risk factor items are displayed. In the risk factor display unit 340, when there are a plurality of risk factor items, the magnitude of the degree of influence of each risk factor item on a predetermined disease may be displayed in an identifiable manner. This may be displayed according to the simulation influence level 634 of the definition table 60, for example. For example, the degree of influence on the disease may be color-coded as red, orange, blue, etc. in order of importance.

  Data after a part of the examination / interview data 121 is changed and input by the data item display unit 330 or the risk factor display unit 340 is stored in the subject data storage unit 120 as simulation input data 125.

  Numeric items (risk factor items) displayed on the data item display unit 330 and the risk factor display unit 340 accept data change input by a slide bar.

  In the above-described embodiment, when the onset probability / simulation screen 300 is displayed, if the operator selects the diabetes simulation display unit 320, the risk factor display unit 340 displays only the risk factor for diabetes as a change target. Transition. As shown in FIG. 7, the risk factors for diabetes are body weight, HbA1c, and LDL. In the risk factor display unit 340, only these risk factors can be changed. In this way, by displaying only the risk factors for a predetermined disease, even when the operator has no knowledge about the risk factors for the disease, the numerical values of the risk factors are adjusted to generate simulation input data 125. be able to. By performing simulation with the simulation input data 125 generated in this way, efficient simulation is possible.

  In the risk factor display unit 340 of FIG. 7, when the weight has the greatest influence among the risk factors of diabetes, the risk factor display unit 340 may display the risk factor in red.

  The onset risk analyzer can accept input of comments by a doctor or the like, for example, after simulation. The printer 104 prints a report including at least a display indicating the actual onset risk level, a display indicating the virtual onset risk level, and a comment received by the input device 102.

  FIG. 8 is a flowchart showing the procedure of an onset risk analysis process executed by the onset risk analysis apparatus according to the above-described embodiment.

  First, test data of a subject is input on the input screen 200 by the input device 102 (step S100). Next, the onset probability prediction unit 130 predicts the actual onset probability of the predetermined disease in the future (after 10 years) based on the input examination / interview data 121 (step S102).

  Thereafter, the age conversion unit 140 converts the actual onset probability into the age (step S103), and the reference risk conversion unit 150 converts the actual onset probability into the reference risk (step S104). Based on these, the onset probability / simulation screen 300 including the risk display unit 310 and the data item display unit 330 is displayed (step S105). At this time, since the simulation has not yet been performed, the simulation display unit 320 may be blank, or the same content as the risk display unit 310 may be displayed.

  Subsequently, the data change input of the risk factor is performed by the input device 102 in the data item display unit 330 or the risk factor display unit 340 transitioned from the data item display unit 330 (step S106). Then, the onset probability prediction unit 130 executes a simulation based on the simulation input data 125 input in step S106 (step S107). The display device 103 displays the simulation result on the simulation display unit 320 of the onset probability / simulation screen 300 (step S108).

  Thereafter, when re-simulation is performed (step S109: Yes), the process returns to step S106 to perform processing. On the other hand, when the re-simulation is not performed (step S109: No), the comment input from the input device 102 by the operator is received (step S110). Then, the report generation unit 160 generates a report reflecting the input comment and prints the report on the printer 104 (step S111).

  Thereby, the risk factor item data can be changed and input easily, and an efficient simulation can be performed.

  According to the present embodiment, it is possible to analyze the actual risk of developing a given disease and effectively simulate the risk of developing the disease after lifestyle improvement.

  The above-described embodiments of the present invention are examples for explaining the present invention, and are not intended to limit the scope of the present invention only to those embodiments. Those skilled in the art can implement the present invention in various other modes without departing from the gist of the present invention.

  For example, the function of the onset risk analyzer main body is mounted on a server, and a plurality of client terminals can perform onset risk analysis using the function of the server.

60 definition table 70 average value table 80 onset probability table 100 onset risk analysis device main body 102 input device 103 display device 104 printer 110 input / output control unit 120 subject data storage unit 130 onset probability prediction unit 140 age conversion unit 150 reference risk conversion unit 160 Report generation unit 200 Input screen 300 Onset probability / simulation screen 310 Risk display unit 320 Simulation display unit 340 Risk factor display unit

Claims (9)

Input means for accepting input of multiple items of data relating to the health condition of the subject;
Prediction means for predicting the actual onset probability of a predetermined disease in the future based on input data received by the input means;
First display means for causing a display device to display a first screen including a display indicating a degree of an actual onset risk of the predetermined disease based on the predicted actual onset probability;
Change means for accepting a change input of the input data of one or more risk factor items related to the predetermined disease among the plurality of items when the first screen is displayed;
Simulation means for predicting a virtual onset probability of the predetermined disease based on the data after being changed by the changing means;
A disease comprising: second display means for causing the display device to display a second screen including a display indicating a degree of a virtual onset risk of the predetermined disease in the future based on the predicted virtual onset probability. Onset risk analysis device. The risk factor item is displayed, and when there are a plurality of the risk factor items, a third screen that displays the magnitude of the degree of influence of each risk factor item on the predetermined disease is displayed. A display means,
The disease onset risk analysis device according to claim 1, wherein the changing unit receives a change input on the third screen.   In the third screen, the input data of the plurality of items received by the input means is displayed, and when a predetermined operation is received from the user, the risk factor item can be distinguished from items other than the risk factor item. The disease onset risk analysis device according to claim 2, which is displayed on the screen.   The display showing the actual onset risk and the display showing the virtual onset risk are displays showing the level of risk relative to the onset risk average by sex and age of the subject. The onset risk analysis apparatus of the disease in any one of.   The display showing the degree of actual onset risk and the display showing the degree of virtual onset risk are displays showing how many years the actual onset probability and the virtual onset risk correspond to. The onset risk analyzer of the disease in any one of 1-3.   4. The disease onset risk analysis device according to claim 2, wherein the changing unit receives a change input of the input data of the one or more risk factor items by a slide bar displayed on the third screen. 5. Comment input means for accepting input of comments;
And a printing means for printing a report including at least a display indicating the actual risk of onset risk, a display indicating the virtual risk of the risk of onset, and a comment received by the comment input means. Item 7. The disease onset risk analyzer according to any one of Items 1 to 6. A method for analyzing the risk of developing a disease using a computer,
Receiving input of multiple items of data relating to the health condition of the subject;
Predicting the actual onset probability of a predetermined disease in the future based on the input data received the input;
Displaying on the display device a first screen including a display indicating a degree of actual onset risk of the predetermined disease based on the predicted actual onset probability;
Receiving a change input of the input data of one or more risk factor items related to the predetermined disease among the plurality of items when the first screen is displayed;
Simulating a virtual onset probability of the predetermined disease based on the changed data;
A second screen including a display indicating a degree of a virtual onset risk of the predetermined disease in the future based on the simulated virtual onset probability and a display indicating a level of the actual onset risk; Displaying on a device. A computer program for performing disease risk analysis,
On the computer,
Receiving input of multiple items of data relating to the health condition of the subject;
Predicting the actual onset probability of a predetermined disease in the future based on the input data received the input;
Displaying on the display device a first screen including a display indicating a degree of actual onset risk of the predetermined disease based on the predicted actual onset probability;
Receiving a change input of the input data of one or more risk factor items related to the predetermined disease among the plurality of items when the first screen is displayed;
Simulating a virtual onset probability of the predetermined disease based on the changed data;
A second screen including a display indicating a degree of a virtual onset risk of the predetermined disease in the future based on the simulated virtual onset probability and a display indicating a level of the actual onset risk; A computer program for executing the step of displaying on the apparatus.