JP2012071054A - Disease prediction device, disease prediction system, and disease prediction method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a disease prediction device and the like capable of automatically predicting presence of disease or the like, through measuring temperature and other data by the user who is the subject or the like.SOLUTION: The disease predictive device 10 has a temperature information acquisition part 10 to obtain temperature information of the user, and basic information about the disease. The device is constituted so that the specified disease information is predicted based on at least temperature information and basic information pertinence information related to the pertinence or the non-pertinence of the basic information, and the prediction result information is displayed on the device.

Description

  The present invention relates to a disease prediction apparatus, a disease prediction system, and a disease prediction method for predicting a disease or the like based on, for example, a human body temperature.

  Conventionally, there has been a thermometer that measures the body temperature of a subject and measures the presence or absence of the person's heat (for example, Patent Document 1).

Japanese Patent Laid-Open No. 5-45229

  However, such a thermometer merely displays the body temperature of the subject, and if the body temperature is higher than the normal body temperature of the subject, the subject himself has no choice but to predict the disease etc. was there.

  Therefore, the present invention provides a disease prediction apparatus, a disease prediction system, and a disease prediction method that allow a user such as a subject to automatically predict the presence or absence of a disease by measuring body temperature or the like. The purpose is to provide.

  In the present invention, the above object has a body temperature information acquisition unit that acquires body temperature information of a user and basic information about a disease, and at least the body temperature information and whether or not the basic information is applicable This is achieved by a disease prediction device characterized in that it is configured to predict specific disease information based on basic information relevance information and display the prediction result information.

According to the said structure, based on the user's body temperature information and the basic information pertinent information on whether the basic information about the disease is relevant or not, the prediction result information on whether the user is a specific disease can be displayed. it can.
For this reason, the user can acquire the information which predicted his specific disease only by measuring body temperature with a disease prediction apparatus, or only inputting predetermined information depending on the case.

  Preferably, the basic information includes disease occurrence period information, disease occurrence area information, disease age information, and symptom information.

  According to the above configuration, since the basic information is disease occurrence period information, disease occurrence region information, disease age information, and symptom information, for example, prediction accuracy of infectious diseases such as influenza is improved.

  Preferably, the disease prediction area information includes a specific area disease occurrence information that is disease occurrence information in a specific area, and has a position information acquisition unit that measures a current position of the disease prediction apparatus. It is.

  According to the above configuration, since the disease occurrence area information includes the specific area disease occurrence information that is the disease occurrence information in the specific area and includes the position information acquisition unit that measures the current position of the disease prediction apparatus, the disease prediction It is possible to accurately determine whether or not the device falls under the specific area disease occurrence information.

  Preferably, it is a disease prediction system provided with the disease prediction apparatus of any one of the said claim.

  In the present invention, the above object has a body temperature information acquisition unit that acquires body temperature information of a user and basic information about a disease, and at least the body temperature information and whether or not the basic information is applicable This is achieved by a disease prediction method characterized by predicting specific disease information on the basis of basic information relevance information and displaying the prediction result information.

  As described above, according to the present invention, a disease prediction apparatus, a disease prediction, and the like, which can automatically predict the presence or absence of a disease by a user such as a subject by measuring body temperature or the like. A system and a disease prediction method can be provided. In particular, it is possible to provide a prediction device, a prediction system, and a prediction method capable of automatically predicting whether or not a user has been infected with influenza by measuring a body temperature or the like by a user such as a subject. it can.

It is the schematic which shows the infectious disease prediction system which is embodiment of the disease prediction system of this invention. It is the schematic which shows the main hardware constitutions etc. of the thermometer of FIG. It is the schematic which shows the main hardware constitutions etc. of the main-body part of FIG. It is a schematic block diagram which shows the main structures of the thermometer of FIG. It is a schematic block diagram which shows the main structures of the main-body part of FIG. It is a schematic flowchart which shows the main operation | movement of an infectious disease prediction system. It is another schematic flowchart which shows the main operation | movement of an infectious disease prediction system. It is another schematic flowchart which shows the main operation | movement of an infectious disease prediction system. It is another schematic flowchart which shows the main operation | movement of an infectious disease prediction system.

Preferred embodiments of the present invention will be described below in detail with reference to the accompanying drawings.
The embodiments described below are preferred specific examples of the present invention, and thus various technically preferable limitations are given. However, the scope of the present invention is particularly limited in the following description. Unless otherwise stated, the present invention is not limited to these embodiments.

FIG. 1 is a schematic diagram showing an infectious disease prediction system 1 which is an embodiment of a disease prediction system of the present invention. The infectious disease prediction system 1 according to the present embodiment is, for example, a system that predicts influenza infection.
The infectious disease prediction system 1 includes, for example, a thermometer 10 that is a body temperature information acquisition unit that measures the body temperature of a user such as a subject.

As shown in FIG. 1, the thermometer 10 has a temperature detector 11 at one end thereof. That is, by arranging the temperature measuring unit 11 in a temperature measuring part such as under the user's arm, the temperature of the user can be measured.
As shown in FIG. 1, the thermometer 10 has a thermometer-side display 12 for displaying the temperature of the measured body temperature and the like, and a thermometer-side input unit 13 for a user to input instructions and the like to the thermometer 10. Is formed.

Moreover, the infectious disease prediction system 1 has the main-body part 40 which becomes the structure which mounts and hold | maintains this thermometer 10, and this main-body part 40 and the thermometer 10 are examples of a disease prediction apparatus.
As shown in FIG. 1, a main body side display 41 for displaying various data is formed in the main body portion 40, and a main body side input portion 42 for a user to input various instruction data to the main body portion 40 is also provided. Is formed.

As shown in FIG. 1, the main body 40 is connected to an information management server 3 that manages various types of information via the Internet 2 so as to be communicable.
The role of the information management server 3 will be described later.
The main body 40 is further configured to be able to communicate with the thermometer 10 disposed thereon, and for example, a GPS (Global Positioning System) device 43 (described later) that is a position information acquisition device that measures its own position. It has.
As shown in FIG. 1, the GPS device 43 receives signals from, for example, four GPS satellites 4 a to 4 d that are arranged in a circular orbit while maintaining a certain distance from the earth. The position can be measured with high accuracy.

FIG. 2 is a schematic diagram showing a main hardware configuration and the like of the thermometer 10 of FIG. 1, and FIG. 3 is a schematic diagram showing a main hardware configuration and the like of the main body 40 of FIG.
As shown in FIG.2 and FIG.3, the thermometer 10 and the main-body part 40 have a computer.
Each of the thermometer 10 and the main body 40 shown in FIGS. 2 and 3 includes a CPU 5, a RAM 6, a ROM 7, and the like, and these are disposed, for example, via a bus 8 or the like.
This bus 8 is an internal bus having a function of connecting all devices. In addition to processing a predetermined program, the CPU 5 controls the ROM 7 and the like connected to the bus 8. The ROM 7 stores various programs and various information. The RAM 6 has a function as an area for making a determination by comparing the contents of the memory during the program processing, or for processing and executing the program.

As shown in FIG. 2, the thermometer-side display 12 and the thermometer-side input unit 13 shown in FIG. 1 are connected to the bus 8, and the battery 14 as a power source and the measurement of the body temperature are executed. A body temperature measuring device 15 and a time measuring device 16 for managing time and time are also connected.
Further, a thermometer-side communication device 17 for communicating with the main body 40 is also connected to the bus 8.

  As shown in FIG. 3, the bus 8 of the main body 40 is connected to the main body side display 41, the main body side input section 42, and the GPS device 43 as well as the main body side communication device 44. Has been.

4 is a schematic block diagram showing a main configuration of the thermometer 10 of FIG. 1, and FIG. 5 is a schematic block diagram showing a main configuration of the main body 40 of FIG.
As shown in FIG. 4, the thermometer 10 has a thermometer-side controller 20, and the above-described thermometer-side display 12, thermometer measuring device 15, timer device 16, thermometer-side input unit 13, battery 14, and thermometer-side communication device 17. Etc. are connected to the thermometer-side controller 20.
Further, as shown in FIG. 4, various programs, storage units, and the like are connected to the thermometer-side control unit 20, and the contents thereof will be described later.

As shown in FIG. 5, the main body 40 includes a main body side control unit 50, and the main body side display 41, the main body side input unit 42, the GPS device 43, the main body side communication device 44, etc. It is connected to the unit side control unit 50.
Further, as shown in FIG. 5, various programs, storage units, and the like are connected to the main body unit side control unit 50, and the contents thereof will be described later.

6 to 9 are schematic flowcharts showing main operations of the infectious disease prediction system 1.
Hereinafter, the operation of the infectious disease prediction system 1 will be described with reference to the flowcharts of FIGS. 6 to 9 and the configurations of FIGS. 1 to 5 will also be described.

The process shown in FIG. 6 shows a process in which a user (subject) who uses the infection certificate prediction system 1 according to the present embodiment registers necessary items in advance for the use.
First, in step ST (hereinafter referred to as “ST”) 1 in FIG. 6, the user's date of birth input screen is displayed on the thermometer-side display 12 of the thermometer 10 in FIG. 1.
Next, in ST2, it is determined whether or not the input of the date of birth is completed. If the input is completed, the input date of birth data is stored in the date of birth data storage unit 21 in FIG. 4 in ST3. The
Thus, the pre-registration process for using the present infection certificate prediction system 1 is completed.

The process shown in FIG. 7 shows, for example, the operation of the main body 40 when the thermometer 10 of FIG. 1 is placed on the main body 40 and is waiting for use by the user. is there.
First, as shown in ST11 of FIG. 7, the GPS device 43 (see FIG. 5) of the main body 40 operates, measures the position of the main body 40, and the position of the main body 40 is determined from the latitude and longitude data of the positioning result. Specify the prefecture you want.
Specifically, after positioning by the GPS device 43, the prefecture specifying unit (program) 51 of FIG. 5 operates and refers to the prefecture geographical data storage unit 52 to specify the prefecture. That is, the prefecture geographical data storage unit 52 stores each prefecture and its latitude / longitude data in association with each other.

  Further, the information management server 3 in FIG. 1 stores orbit information of the GPS satellites 4a to 4d in FIG. Therefore, the positioning time of the GPS device 43 can be shortened by the main body 40 accessing the information management server 3 via the Internet 2 and acquiring such information.

Next, the process proceeds to ST12. In ST12, the infected area data relating to the prefecture specified in ST11 is acquired from the information management server 3, and it is determined whether or not the prefecture (for example, Hokkaido) specified in ST11 is an infected area.
Specifically, the infected area data acquisition unit and the determination unit (program) 53 of FIG. 5 operate, and infection data stored in the information management server 3 via the Internet network 2 of FIG. Infectious area data (basic information, an example of disease outbreak area information) is referred to, and for example, it is determined whether Hokkaido is an influenza-infected area.

  Next, the process proceeds to ST13. In ST13, the main body 40 transmits data indicating whether or not the region (Hokkaido) acquired in ST12 is an influenza-infected region, that is, “infected region / non-region data” to the thermometer 10 on the main body side communication device 44. And so on.

Next, the process proceeds to ST14. In ST14, the thermometer 10 stores the “infected region / non-region data (an example of basic information appropriateness information)” received in ST13 in the infected region / non-region data storage unit 22 of FIG.
This completes the operation of the main body 40 and the like in FIG.

Next, with reference to FIG. 8 and FIG. 9, a process of predicting influenza infection by the user actually measuring the temperature with the thermometer 10 (measuring body temperature) will be described.
First, the user picks up the thermometer 10 placed on the main body 40 of FIG. 1, operates the thermometer-side input unit 13 of the thermometer 10, turns on the switch, and sets the thermometer measurement device 15 of the thermometer 10. Make it work.
And the temperature measurement part 11 of the thermometer 10 is arrange | positioned in temperature measurement parts, such as an underarm.
Then, in ST21 of FIG. 8, the body temperature measuring device 15 determines whether or not the body temperature measurement is completed.

  When the temperature measurement is completed in ST21, the measured body temperature data (an example of body temperature information) that is the body temperature measured by the body temperature measuring device 15 is displayed on the thermometer-side display 12.

Next, the process proceeds to ST23. In ST23, it is determined whether or not the measured body temperature data in ST22 is 38 degrees or more.
Specifically, the body temperature determination unit (program) 23 of FIG. 4 operates and makes a determination with reference to data of 38 degrees stored in the reference body temperature data storage unit 24.
That is, as a symptom of influenza, fever of 38 degrees or more accompanies, so the fever state is determined here.

Next, the process proceeds to ST24. In ST24, it is determined whether or not the temperature is during an influenza epidemic period.
Specifically, the infection epidemic period determination unit (program) 25 of FIG. 4 operates and is stored in the infection epidemic period data storage unit 26, for example, data for December to March, which is the epidemic epidemic period of influenza. With reference to (an example of disease occurrence period information), it is determined whether or not the temperature is included in the period.

If it is determined in ST24 that the temperature is included in the infection epidemic period (an example of basic information appropriateness information), the process proceeds to ST25. In ST25, it is determined whether or not the affected area is an infected area by referring to the data stored in the infected area / non-area data storage unit 22 in FIG.
Specifically, the infected area determination unit (program) 27 in FIG.

  If it is determined in ST24 that the prefecture (for example, Hokkaido) is an infected area, the process proceeds to ST26. In ST26, the age specifying unit (program) 28 shown in FIG. 4 is operated, and the user's date of birth data stored in the date of birth data storage unit 21 shown in FIG. Then, the current age of the user is calculated, and the current age data is stored in the current age data storage unit 29 in FIG.

Next, the process proceeds to ST27. In ST27, it is determined whether the user is a child or an elderly person. Specifically, the normal adult judgment unit (program) 32 of FIG. 4 operates, and the child or elderly person range data (basic information, an example of diseased age information) is stored in FIG. Reference is made to part 30.
The child elderly person data storage unit 30 stores data of, for example, 0 to 9 years old as the range of children and 65 years or older as the range of the elderly.

The normal adult judgment unit (program) 32 compares the current age data of the user in the current age data storage unit 29 with the data in the child elderly data storage unit 30 so that the user can be a child or an elderly person. Is determined (an example of basic information relevance information).
In the case of children and the elderly, if there is a fever of 38 degrees or more, and the user is located in the infected area within the infection epidemic period, it is determined that the suspicion of influenza infection is high, and go to ST28 in FIG. move on.

In ST28, the thermometer-side display 12 of the thermometer 10 displays an indication that “the possibility of influenza is high”, and prompts the user to go to a hospital or the like.
As described above, in this embodiment, when a child is infected with influenza, a serious situation is likely to occur, and symptoms such as chills may hardly occur. It is configured to notify the person and prompt prompt action.

If it is determined in ST27 that the user is not a child or an elderly person, the process proceeds to ST29. In ST29, a display requesting input of the presence / absence of “chill and / or pain (an example of basic information, symptom information)” is output to the thermometer-side display 12 of the thermometer 10.
That is, in ST29, since a normal adult who is neither a child nor an elderly person is infected with influenza, the presence or absence of chills or pain (an example of basic information appropriateness information) that is a symptom at the time of influenza infection is determined, This is a process for making more accurate judgments.
Specifically, the chill etc. input judgment part (program) 31 of FIG. 4 operates, and judges the presence or absence of chills or pain based on the data inputted by the user.

  If it is determined in ST30 that there is chills and / or pain, the process proceeds to ST28, and as described above, the user is informed that the possibility of influenza infection is large.

  As described above, in the present embodiment, it is possible to automatically determine whether or not the user is likely to be infected with influenza simply by measuring the body temperature with the thermometer 10, and the user can It is possible to respond quickly such as going to a hospital.

  The present invention is not limited to the above-described embodiments, and can also be applied to disease prediction such as infection with norovirus, otafukaze, appendicitis, acute viral encephalitis, acute meningitis, etc. as infectious diseases.

  DESCRIPTION OF SYMBOLS 1 ... Infectious disease prediction system, 2 ... Internet network, 3 ... Information management server, 4a thru | or 4d ... GPS apparatus, 5 ... CPU, 6 ... RAM, 7 ... ROM 8 ... Bath, 10 .... thermometer, 11 ... thermometer, 12 ... thermometer-side display, 13 ... thermometer-side input unit, 14 ... battery, 15 ... thermometer DESCRIPTION OF SYMBOLS 16 ... Time measuring device, 20 ... Thermometer side control part, 21 ... Birth date data storage part, 22 ... Infectious area / non-region data storage part, 23 ... Body temperature judgment part (program) , 24 ... reference body temperature data storage unit, 25 ... infection epidemic period determination unit (program), 26 ... infection epidemic period data storage unit, 27 ... infection area determination unit (program), 28・ Age specifying part (program), 29 ・ ・ ・ Current age day Storage unit, 30 ... Child elderly person data storage unit, 31 ... Chill etc. input judgment unit (program), 40 ... Main unit, 41 ... Main unit side display, 42 ... Main unit side Input unit, 43 ... GPS device, 44 ... main unit communication unit, 50 ... main unit control unit, 51 ... prefecture specific unit (program), 52 ... prefectural geographic Data storage unit, 53 ... infected area data acquisition unit and determination unit (program)

Claims (5)

A body temperature information acquisition unit for acquiring body temperature information of the user;
Basic information about the disease,
Based on at least the body temperature information and basic information relevance information related to whether the basic information is applicable or not, the specific disease information is predicted, and the prediction result information is displayed. Disease prediction device.   The disease prediction apparatus according to claim 1, wherein the basic information includes disease occurrence period information, disease occurrence area information, disease age information, and symptom information.   The disease occurrence area information includes specific area disease occurrence information that is disease occurrence information in a specific area, and further includes a position information acquisition unit that measures a current position of the disease prediction device. Disease prediction device.   A disease prediction system comprising the disease prediction device according to any one of claims 1 to 3. A body temperature information acquisition unit for acquiring body temperature information of the user;
Basic information about the disease,
Based on at least the body temperature information and basic information relevance information related to whether the basic information is applicable or not, the specific disease information is predicted, and the prediction result information is displayed. Disease prediction method.

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