System, information processing apparatus, and program

Abstract

[Problem] To provide a system, information processing device, and program capable of assisting in determining whether a subject has a disease based on the subject's odor. [Solution] According to one aspect of the present invention, a system is provided. The system includes a first measuring device, a first terminal, an information processing device, a second measuring device, and a second terminal. The first measuring device includes a first detection unit. The first detection unit includes an odor sensor and is configured to use the odor sensor to detect the odor of a subject's exhaled breath. The first terminal includes a first measuring information generation unit and a measuring information notification unit. The first measuring information generation unit is configured to generate first measuring information based on the detection result of the first detection unit and disease information. Disease information indicates whether the subject has a predetermined disease. The measuring information notification unit is configured to notify the information processing device of the first measuring information generated by the first measuring information generation unit. The information processing device includes a measuring information acquisition unit, a feature information generation unit, and a feature information providing unit. The measuring information acquisition unit is configured to acquire the first measuring information notified by the first terminal. The feature information generation unit is configured to generate feature information representing the characteristics of exhaled breath associated with a disease, based on first measurement information indicating a disease acquired by the measurement information acquisition unit and first measurement information indicating no disease acquired by the measurement information acquisition unit. The feature information providing unit is configured to provide the feature information generated by the feature information generation unit to a second terminal. The second measurement device includes a second detection unit. The second detection unit includes an odor sensor and is configured to use the odor sensor to detect the odor of the patient's exhaled breath. The second terminal includes a second measurement information generation unit, a feature information holding unit, and a determination unit. The second measurement information generation unit is configured to generate second measurement information based on the detection result of the second detection unit. The feature information holding unit is configured to hold the feature information provided by the information processing device. The determination unit is configured to determine the likelihood that the patient has a disease based on the second measurement information and the feature information.

Description

Technical Field

[0001] This invention relates to a system, an information processing device, and a program. Background Technology

[0002] In recent years, with the development of medicine and other fields, the causes of various diseases have been gradually identified. However, the diagnosis of whether or not a person has contracted a specific disease sometimes takes time. For example, the PCR (polymerase chain reaction) method for detecting COVID-19 infection takes several hours to a day (as of the end of May 2020).

[0003] However, it is currently known that dogs can be used to identify patients with colorectal cancer or to detect abnormal blood sugar levels, especially the latter, as they are being widely bred as hypoglycemic alarm dogs. These detections are presumably based on the dog's keen sense of smell.

[0004] On the other hand, various studies on "odor" are also progressing, and existing technologies have proposed a system that uses multiple quartz oscillator sensors to determine specific fragrance qualities (for example, see Patent Document 1). Existing technical documents Patent documents

[0005] Patent Document 1: International Publication No. 2019 / 117099 Summary of the Invention The problem that the invention aims to solve

[0006] However, if the dogs are not bred effectively by using their scent to determine whether they are sick, it would be impossible to breed them effectively without knowing the specific scent components of the disease. In addition, it is conceivable that it would take a lot of time to popularize these methods.

[0007] In view of the above, the present invention provides a system, information processing device and program that can assist in determining whether a patient has a disease based on the patient's odor. Solution for solving the problem

[0008] According to one aspect of the present invention, a system is provided. The system includes a first measuring device, a first terminal, an information processing device, a second measuring device, and a second terminal. The first measuring device includes a first detection unit. The first detection unit includes an odor sensor and is configured to detect the odor of a subject's exhaled breath using the odor sensor. The first terminal includes a first measuring information generation unit and a measuring information notification unit. The first measuring information generation unit is configured to generate first measuring information based on the detection result of the first detection unit and disease information. Disease information indicates whether the subject has a predetermined disease. The measuring information notification unit is configured to notify the information processing device of the first measuring information generated by the first measuring information generation unit. The information processing device includes a measuring information acquisition unit, a feature information generation unit, and a feature information provision unit. The measuring information acquisition unit is configured to acquire the first measuring information notified by the first terminal. The feature information generation unit is configured to generate feature information representing the characteristics of exhaled breath for a disease based on the first measuring information indicating disease obtained by the measuring information acquisition unit and the first measuring information indicating no disease obtained by the measuring information acquisition unit. The feature information provision unit is configured to provide the feature information generated by the feature information generation unit to the second terminal. The second measuring device includes a second detection unit. The second detection unit includes an odor sensor and is configured to detect the odor of the patient's exhaled breath. The second terminal includes a second measuring information generation unit, a feature information holding unit, and a determination unit. The second measuring information generation unit is configured to generate second measuring information based on the detection result of the second detection unit. The feature information holding unit is configured to hold the feature information provided by the information processing device. The determination unit is configured to determine the likelihood that the patient has a disease based on the second measuring information and the feature information.

[0009] According to one aspect of the invention, it is possible to check whether a patient has a disease in a relatively short time, thereby assisting doctors in making a diagnosis. Attached Figure Description

[0010] Figure 1 This is a diagram illustrating the overview of the system for explaining embodiments of the present invention. Figure 2 This is a diagram showing an overview of the structure of system 100. Figure 3 This is a diagram showing the structure of the information processing device 1. Figure 4 This is a diagram showing the structure of terminal 2. Figure 5 This is a diagram showing the structure of measuring device 3. Figure 6 This is a block diagram representing the functional structure of system 100. Detailed Implementation

[0011] The embodiments of the present invention will now be described with reference to the accompanying drawings. Various features in the embodiments shown below can be combined with each other.

[0012] The program used to implement the software in this embodiment can be provided as a non-transitory computer-readable medium, or it can be downloaded from an external server, or the program can be launched by an external computer to implement the function on a client terminal (i.e., so-called cloud computing).

[0013] In this embodiment, "part" can be a concept that includes, for example, hardware resources implemented in a generalized circuit and software information processing specifically implemented by these hardware resources. Furthermore, this embodiment involves various types of information, which can be represented, for example, by physical values ​​representing signal values ​​of voltage or current, or as high or low signal values ​​of a binary bit set consisting of 0s or 1s, or by quantum superposition (i.e., so-called qubits), and can perform communication and computation on a generalized circuit.

[0014] Furthermore, in a broader sense, a circuit is a circuit implemented by at least appropriately combining circuits, circuitry, processors, and memory. That is, it includes application-specific integrated circuits (ASICs), programmable logic devices (such as simple programmable logic devices (SPLDs) and complex programmable logic devices (CPLDs), and field-programmable gate arrays (FPGAs), etc.

[0015] 1. System Overview Figure 1 This is a diagram illustrating the general structure of a system for explaining embodiments of the present invention. In this system, the non-patient's exhaled NPE (Non-Physical Examination) of the target disease is compared with the patient's exhaled PE to determine the odor component S present only in the patient's exhaled PE. However, the name or origin (cause) of the odor component S may not be clearly defined, and the determination of whether or not the disease is present is based on whether the exhaled breath contains the odor component S. Hereinafter, an example using the patient's exhaled breath as the measurement subject will be described, but the odor of the patient's sweat or excrement may also be used instead.

[0016] 2. System Structure Figure 2 This is a diagram showing an overview of the structure of system 100. As shown in the diagram, system 100 is configured such that information processing device 1 and terminal 2 are connected via network 4. In addition, measuring device 3 is connected to terminal 2.

[0017] The measuring device 3 converts the odor contained in the breath of the subject or patient into an electrical signal and outputs it. The subject is an accomplice who provides odor data for the target disease, including both patients and non-patients with the disease. The patient is someone seeking a diagnosis of whether they have the disease.

[0018] Terminal 2 notifies the information processing device 1 of the measurement information of the subject measured by the measuring device 3. Furthermore, terminal 2 uses the characteristic information obtained from the information processing device 1 to determine whether the patient, as measured by the measuring device 3, has a disease. Terminal 2 can be a personal computer, smartphone, tablet computer, etc.

[0019] Information processing device 1 processes measurement information collected from the examinee and generates measurement information used to determine whether the examinee has a disease. Alternatively, information processing device 1 can be a computer such as a server.

[0020] Network 4 is a network that includes the Internet and enables communication between information processing device 1 and terminal 2.

[0021] 3. Structure of Information Processing Device 1 Figure 3 This is a diagram showing the structure of the information processing device 1. As shown in the figure, the information processing device 1 includes a processing unit 11, a storage unit 12, a temporary storage unit 13, an external device connection unit 14, and a communication unit 15. These components are electrically connected within the information processing device 1 via a communication bus 16.

[0022] The processing unit 11 is implemented by, for example, a central processing unit (CPU), and runs according to a predetermined program stored in the storage unit 12 to perform various functions.

[0023] Storage unit 12 is a non-volatile storage medium for storing various types of information. This can be achieved using storage devices such as hard disk drives (HDDs) or solid-state drives (SSDs). Storage unit 12 can also be configured in other devices capable of communicating with information processing device 1.

[0024] Temporary storage unit 13 is a volatile storage medium. This can be implemented using memory such as random access memory (RAM) to store information (parameters, arrangements, etc.) temporarily needed during the operation of processing unit 11.

[0025] The external device connection part 14 is, for example, a connection part that conforms to standards such as Universal Serial Bus (USB) or High-Definition Multimedia Interface (HDMI), and can connect to input devices such as keyboards or display devices such as monitors.

[0026] The communication unit 15 is, for example, a communication means that conforms to the Local Area Network (LAN) standard, and enables communication between the information processing device 1 and the LAN or the Internet via the LAN, etc.

[0027] The information processing device 1 can utilize a computer designed for general-purpose servers or a personal computer, or it can be constructed using multiple computers.

[0028] 4. Structure of Terminal 2 Figure 4 This is a diagram showing the structure of terminal 2. As shown in the diagram, terminal 2 includes a processing unit 21, a storage unit 22, a temporary storage unit 23, an external device connection unit 24, a communication unit 25, an input unit 26, and a display unit 27. These components are electrically connected inside terminal 2 via a communication bus 28.

[0029] The processing unit 21 is implemented, for example, by a central processing unit, and runs according to a predetermined program stored in the storage unit 22 to perform various functions.

[0030] Storage unit 22 is a non-volatile storage medium for storing various types of information.

[0031] Temporary storage unit 23 is a volatile storage medium. This can be implemented using a memory such as random access memory, storing information (parameters, arrangements, etc.) temporarily needed during the operation of processing unit 21.

[0032] The external device connection part 24 is a connection part that conforms to standards such as Universal Serial Bus (USB) or Bluetooth (registered trademark), and can connect to measuring devices such as measuring devices 3.

[0033] The communication unit 25 is, for example, a communication means conforming to the Local Area Network (LAN) standard, enabling communication between the information processing device 1 and a network such as the LAN or the Internet via the LAN. Furthermore, the communication unit 25 also includes a communication means capable of communication via a mobile phone network.

[0034] The input unit 26 accepts operation input. The display unit 27 displays information on a screen. Alternatively, the input unit 26 and the display unit 27 can be integrated as a touch panel.

[0035] Terminal 2 can use common smartphones or tablets, etc.

[0036] 5. Structure of measuring device 3 Figure 5 This is a diagram showing the structure of the measuring device 3. As shown in the diagram, the measuring device 3 includes an inlet 31, an outlet 32, a gas sensor group 33, a quartz oscillator sensor group 34, a conversion unit 35, and a connecting unit 36. Here, the measuring device 3 using the gas sensor group 33 and the quartz oscillator sensor group 34 will be described, but the sensors can be semiconductor sensors such as oxide semiconductor sensors and organic semiconductor sensors, quartz oscillator sensors using epoxy resin films, vinyl acetate resin films, Langmuir-Prozette films, etc. as sensing films, and various sensors using surface acoustic wave (SAW) filters or film bulk acoustic resonator (FBAR) filters, etc.

[0037] The inlet 31 is the part that allows the exhaled air of the subject or patient to flow into the measuring device 3, and is equipped with a mouthpiece or the like. When the odor of sweat or excrement other than exhaled air is considered, an air containing the odor is forced into the measuring device 3 from the inlet 31 using a pump or the like. The outlet 32 ​​is the part that discharges the exhaled air that has flowed into the measuring device 3 from the inlet 31.

[0038] The gas sensor group 33 consists of multiple gas sensors and is used to detect gases such as carbon dioxide, carbon monoxide, methane, butane, and ammonia.

[0039] The quartz oscillator sensor group 34 consists of multiple quartz oscillator sensors, each containing a quartz oscillator formed from a thin film with non-specific adsorption properties, and each coated with a different compound. Examples of the coated compounds include D-phenylalanine, D-tyrosine, DL-histidine, D-glucose, adenine, and polyethylene. These compounds cause changes in resonant frequency due to the adhesion of odor components, and the adhesion of these odor components varies depending on the compound; therefore, each quartz oscillator sensor can detect different odors. Details regarding the gas sensor group 33 and the quartz oscillator sensor group 34 have been described in Patent Document 1 and are therefore omitted here.

[0040] The conversion unit 35 converts the analog electrical signals output from the gas sensor group 33 and the quartz oscillator sensor group 34 into digital electrical signals. The connection unit 36 ​​is a connection unit that conforms to standards such as Universal Serial Bus (USB) or Bluetooth (registered trademark), and can be communicatively connected to the terminal 2.

[0041] Alternatively, a thermometer, hygrometer, barometer, etc., can be installed in the measuring device 3, and the temperature, humidity, air pressure, etc. obtained from them, along with the outputs of the gas sensor group 33 and the quartz oscillator sensor group 34, can be sent to the terminal 2. Information regarding temperature, humidity, air pressure, etc., will be omitted in the following description, but this information can be included in the measurement information or characteristic information.

[0042] 6. Functional Structure of System 100 The functions of System 100 will be explained next. Figure 6 This is a block diagram representing the functional structure of system 100.

[0043] As shown in the figure, system 100 includes a measuring device 301 as a first measuring device, a terminal 201 as a first terminal, an information processing device 101, a measuring device 302 as a second measuring device, and a terminal 202 as a second terminal. Measuring device 301 and measuring device 302, i.e., the first measuring device and the second measuring device, can be the same or have different structures, and are therefore described separately here. Similarly, terminal 201 and terminal 202, i.e., the first terminal and the second terminal, can have the same function or different functions, and are therefore described separately here.

[0044] The measuring device 301, as the first measuring device, includes a detection unit 311 as a first detection unit. The detection unit 311 is configured to detect the odor of the subject's exhaled breath using an odor sensor that includes at least a quartz oscillator sensor. The odor sensor may be, for example, the gas sensor group 33 and the quartz oscillator sensor group 34.

[0045] Terminal 201, which is the first terminal, includes a measurement information generation unit 211 and a measurement information notification unit 212, which are both first measurement information generation units.

[0046] The measurement information generation unit 211 is configured to generate first measurement information based on the detection results and disease information of the detection unit 311. Specifically, the measurement information generation unit 211 takes the value of the resonance frequency when the resonance frequency stabilizes after a predetermined time, after the resonance frequency of each quartz oscillator sensor group 34 of the detection unit 311 has started to change due to the adhesion of odor components, as the detection result. The first measurement information includes information indicating whether the subject has a predetermined disease. In the case where there are quartz oscillator sensors whose resonance frequency does not change, that is, in the case where there are quartz oscillator sensors without odor components, the detection result includes information indicating this situation.

[0047] The measurement information notification unit 212 is configured to notify the information processing device 101 of the first measurement information generated by the measurement information generation unit 211. The measurement information notification unit 212 can notify the information processing device 101 of the detection result of the detection unit 311 in its original state, without the need for the measurement information generation unit 211 to select a stable resonant frequency.

[0048] The information processing apparatus 101 includes a measurement information acquisition unit 111, an accumulation unit 112, a feature information generation unit 113, and a feature information providing unit 114. The information processing apparatus 101 is implemented by a program that runs the information processing apparatus 1, which is a computer. By running the program, the information processing apparatus 101 includes the measurement information acquisition unit 111, the accumulation unit 112, the feature information generation unit 113, and the feature information providing unit 114.

[0049] The measurement information acquisition unit 111 is configured to acquire first measurement information notified by the terminal 201. Specifically, the measurement information acquisition unit 111 is configured to acquire measurement information including detection results obtained by detecting the odor of a subject's exhaled breath using an odor sensor that includes at least a quartz oscillator sensor, and disease information indicating whether the subject has a predetermined disease. Furthermore, the measurement information acquisition unit 111 acquires measurement information including the resonant frequencies of each of the multiple quartz oscillator sensors included in the odor sensor after a predetermined time has elapsed since the start of detection, but it can also acquire the detection results from the detection unit 311 in their original state.

[0050] The accumulation unit 112 accumulates the measurement information (first measurement information) acquired by the measurement information acquisition unit 111. In addition, the accumulation unit 112 also accumulates the feature information generated by the feature information generation unit 113.

[0051] The feature information generation unit 113 is configured to generate feature information representing the characteristics of exhalation for a disease based on the disease information displayed in the first measurement information (first measurement information) acquired by the measurement information acquisition unit 111, and the disease information displayed in the first measurement information indicating that the patient is not diseased. In other words, the feature information generation unit 113 is configured to generate feature information representing the characteristics of exhalation for a disease based on detection results where the disease information is included in the measurement information indicating that the patient is diseased, and detection results where the disease information is included in the measurement information indicating that the patient is not diseased.

[0052] For example, the feature information generation unit 113 performs statistical processing on multiple measurement information acquired by the measurement information acquisition unit 111, so that specific disease information only appears in the features included in the measurement information representing the disease in the detection results. Alternatively, the feature information generation unit 113 can also perform machine learning based on a combination of disease information and detection results to generate learned information as feature information, which takes the detection results as input and outputs disease information.

[0053] The feature information providing unit 114 is configured to provide the feature information generated by the feature information generating unit 113 to the terminal 202, which is a second terminal.

[0054] The measuring device 302, as a second measuring device, includes a detection unit 321 as a second detection unit. The detection unit 321 is configured to detect the odor of the patient's exhaled breath using an odor sensor that includes at least a quartz oscillator sensor. The odor sensor is, for example, the gas sensor group 33 and the quartz oscillator sensor group 34. The measuring device 302 may have the same structure as the measuring device 301, but when determining whether a patient has a disease to be diagnosed, if it is clear that the gas sensor group 33 and the quartz oscillator sensor group 34 are not necessary—that is, if a sensor that does not affect the diagnostic results is included—this sensor can be omitted.

[0055] Terminal 202, which is the second terminal, includes a measurement information generation unit 221, a feature information holding unit 223, and a determination unit 224, which are second measurement information generation units.

[0056] The measurement information generation unit 221 is configured to generate second measurement information based on the detection result of the detection unit 321. Specifically, the measurement information generation unit 221 is configured to generate measurement information based on the detection results obtained using an odor sensor containing at least a quartz oscillator sensor to detect the odor of the patient's exhaled breath. The measurement information is the value of the resonant frequency of each of the multiple quartz oscillator sensors included in the odor sensor after a predetermined time has elapsed since the start of the detection.

[0057] The feature information holding unit 223 is configured to retain feature information provided from the information processing device 101. When the feature information generation unit 113 generates this feature information through statistical processing, the feature information represents information including the range of resonant frequencies detected by the odor sensor when the breath of a patient with a predetermined disease is detected. Alternatively, when the feature information generation unit 113 generates feature information through machine learning, the feature information is learned information indicating whether the patient has the disease or not, obtained by using measurement information as input from machine learning based on the breath odor of patients with the predetermined disease and the breath odor of unaffected patients.

[0058] The determination unit 224 is configured to determine the likelihood of a patient having a disease based on measurement information (second measurement information) and feature information. When the feature information generation unit 113 generates feature information through statistical processing, the determination unit 224 compares the measurement information and the feature information to determine the likelihood of the patient having a disease. Alternatively, when the feature information generation unit 113 generates feature information through machine learning, the determination unit 224 determines the likelihood of the patient having a disease based on the measurement information and the feature information. Specifically, the determination unit 224 takes the measurement information as input and outputs a determination of whether the patient has the target disease.

[0059] Furthermore, since the terminal 202 has a feature information holding unit 223, it can be used even in a so-called offline state where it cannot communicate with the information processing device 101, and can be used as a diagnostic device. Moreover, the diagnostic device can be implemented by running a program through a smartphone, tablet, or personal computer, which is a computer. The diagnostic support device implemented by running a program through a computer as a diagnostic support device includes a measurement information generation unit 221, a feature information holding unit 223, and a determination unit 224.

[0060] Alternatively, terminals 201 and 202 can be implemented using the same program, and terminals equipped with a measurement information generation unit 211 or measurement information generation unit 221, a measurement information notification unit 212, a feature information holding unit 223, and a determination unit 224 can also be provided.

[0061] 7. Other exist Figure 6 In the diagram, the functional structure of system 100 is shown, illustrating the connection between terminals 201 and 202 and the information processing device 101. However, during the stage of collecting the subject's breath measurement information, terminals 202 and the measuring device 302 are not required. Furthermore, after generating feature information based on the sufficiently collected breath measurement information of the subject, the patient's breath is measured for diagnosis, but in this case, terminals 201 and the measuring device 301 are not required.

[0062] Furthermore, neither terminal 201 nor terminal 202 needs to communicate with information processing device 101 at all times. Terminal 201 only needs to communicate when notifying information processing device 101 of measurement information, and terminal 202 only needs to communicate when obtaining feature information from information processing device 101. Therefore, if measurement information or feature information can be transmitted and received, measurement information or feature information can also be transmitted and received via means other than communication, such as storage media like memory.

[0063] The present invention may also be provided in various other ways. 2. The system according to claim 1, characterized in that, The first detection unit includes an odor sensor comprising a quartz oscillator sensor. The second detection unit includes an odor sensor comprising a quartz oscillator sensor. 3. An information processing apparatus, characterized in that it comprises: The measurement information acquisition unit, the feature information generation unit, and the feature information provision unit; The measurement information acquisition unit is configured to acquire measurement information, which includes detection results obtained by detecting the odor of the subject's breath using an odor sensor and disease information indicating whether the subject has a predetermined disease. The feature information generation unit is configured to generate feature information representing the exhalation characteristics of the disease based on the detection results included in the test information representing the disease and the detection results included in the test information representing the absence of the disease. The feature information providing unit is configured to provide the feature information to the terminal. 4. The information processing apparatus according to claim 3, characterized in that, The odor sensor includes a quartz oscillator sensor. The measurement information acquisition unit acquires measurement information, which includes the resonant frequencies of each of the multiple quartz oscillator sensors included in the odor sensor after a predetermined time has elapsed since the start of the detection, as the detection result. 5. The information processing apparatus according to claim 3 or 4, characterized in that, The feature information generation unit performs statistical processing on multiple measurement information obtained by the measurement information acquisition unit, and in the detection results, the specific disease information only appears in the features included in the detection results of the measurement information indicating the disease. 6. The information processing apparatus according to claim 3 or 4, characterized in that, The feature information generation unit performs machine learning based on the combination of the disease information and the detection results, and generates learned information as the feature information, which takes the detection results as input and outputs disease information. 7. A program that enables a computer to run as an information processing device, characterized in that: The information processing device includes a measurement information acquisition unit, a feature information generation unit, and a feature information provision unit; The measurement information acquisition unit is configured to acquire measurement information, which includes detection results obtained by detecting the odor of the subject's breath using an odor sensor and disease information indicating whether the subject has a predetermined disease. The feature information generation unit is configured to generate feature information representing the exhalation characteristics of the disease based on the detection results included in the test information representing the disease and the detection results included in the test information representing the absence of the disease. The feature information providing unit is configured to provide the feature information to the terminal. 8. A program that enables a computer to run as a diagnostic support device, characterized in that: The diagnostic support device includes a measurement information generation unit, a feature information storage unit, and a determination unit; The measurement information generation unit is configured to generate measurement information based on the detection results obtained by detecting the odor of a patient's breath using an odor sensor that includes at least a quartz oscillator sensor. The measurement information is the value of the resonant frequency of each of the plurality of quartz oscillator sensors included in the odor sensor after a predetermined time has elapsed since the start of the detection. The feature information holding unit is configured to retain feature information, wherein the feature information is information representing the range of the resonant frequency when the odor of the breath of a patient with a predetermined disease is detected using the odor sensor. The determination unit is configured to determine the likelihood that the patient has the disease by comparing the measurement information and the feature information. A program that enables a computer to operate as a diagnostic support device, characterized in that: the diagnostic support device includes a measurement information generation unit, a feature information holding unit, and a determination unit; the measurement information generation unit is configured to generate measurement information based on detection results obtained by detecting the odor of a patient's breath using an odor sensor that includes at least a quartz oscillator sensor, wherein the measurement information is the value of the resonant frequency of each of the plurality of quartz oscillator sensors included in the odor sensor after a predetermined time has elapsed since the start of detection; the feature information holding unit is configured to hold feature information, wherein the feature information is learned information on whether the patient has the disease, which is input from the measurement information and output by machine learning based on the odor of the breath of a patient with a predetermined disease and the odor of the breath of a non-patient without the disease; the determination unit is configured to determine the likelihood that the patient has the disease based on the measurement information and the feature information. Of course, it's not limited to this.

[0064] In addition, a computer-readable non-temporary storage medium for storing the program may also be provided. Brief explanation of symbols

[0065] 1: Information processing device 2: Terminal 3: Measuring device 4: Network 11: Processing Department 12: Storage Department 13: Temporary Storage Department 14: External device connection part 15: Ministry of Communications 16: Communication bus 21: Processing Department 22: Storage Department 23: Temporary Storage Department 24: External device connection part 25: Ministry of Communications 26: Input Section 27: Display Section 28: Communication bus 31: Inlet 32: Outlet 33: Gas sensor group 34: Quartz Oscillator Sensor Assembly 35: Conversion Section 36: Connecting part 100: System 101: Information Processing Device 111: Measurement Information Acquisition Department 112: Accumulation Department 113: Feature Information Generation Department 114: Feature Information Provision Department 201: Terminal 202: Terminal 211: Measurement Information Generation Department 212: Measurement Information Notification Department 221: Measurement Information Generation Department 223: Feature Information Preservation Department 224: Judgment Department 301: Measuring device 302: Measuring device 311: Testing Department 321: Testing Department NPE: Exhale PE: Exhalation S: Ingredients

Claims

1. A system, characterized by include: A first measuring device, a first terminal, an information processing device, a second measuring device, and a second terminal; The first measuring device includes a first detection unit. The first detection unit includes an odor sensor and is configured to use the odor sensor, which includes a plurality of quartz oscillator sensors, to detect the odor of the subject's breath. The first terminal includes a first measurement information generation unit and a measurement information notification unit. The first measurement information generation unit is configured to generate first measurement information based on the detection results of the first detection unit and disease information, wherein the disease information indicates whether the subject has a predetermined disease. The measurement information notification unit is configured to notify the information processing device of the first measurement information generated by the first measurement information generation unit; The information processing device includes a measurement information acquisition unit, a feature information generation unit, and a feature information provision unit. The measurement information acquisition unit is configured to acquire first measurement information notified by the first terminal, wherein the first measurement information includes the resonant frequencies of each of the plurality of quartz oscillator sensors after a predetermined time elapsed since the start of the detection as the detection result. The feature information generation unit is configured to generate feature information representing the characteristics of exhalation for the disease based on the first measurement information indicating disease acquired by the measurement information acquisition unit and the first measurement information indicating non-disease acquired by the measurement information acquisition unit. The feature information providing unit is configured to provide the feature information generated by the feature information generating unit to the second terminal; the second measuring device includes a second detection unit. The second detection unit includes an odor sensor and is configured to use the odor sensor to detect the odor of the patient's breath; The second terminal includes a second measurement information generation unit, a feature information holding unit, and a determination unit. The second measurement information generation unit is configured to generate second measurement information based on the detection result of the second detection unit. The feature information holding unit is configured to hold the feature information provided by the information processing device. The determination unit is configured to determine the likelihood that the patient has the disease based on the second measurement information and the feature information.

2. The system according to claim 1, characterized in that, The first detection unit includes an odor sensor comprising a quartz oscillator sensor. The second detection unit includes an odor sensor comprising a quartz oscillator sensor.

3. An information processing device, characterized in that, include: The measurement information acquisition unit, the feature information generation unit, and the feature information provision unit; The measurement information acquisition unit is configured to acquire measurement information, which includes a detection result obtained by detecting the odor of the subject's breath using an odor sensor and disease information indicating whether the subject has a predetermined disease. The measurement information includes the resonant frequency of each of the plurality of quartz oscillator sensors included in the odor sensor as the detection result. The feature information generation unit is configured to generate feature information representing the exhalation characteristics of the disease based on the detection results included in the measurement information indicating the presence of the disease and the detection results included in the measurement information indicating the absence of the disease. The feature information providing unit is configured to provide the feature information to the terminal.

4. The information processing apparatus according to claim 3, characterized in that, The odor sensor includes a quartz oscillator sensor. The measurement information acquisition unit acquires measurement information, which includes the resonant frequencies of each of the multiple quartz oscillator sensors included in the odor sensor after a predetermined time has elapsed since the start of the detection, as the detection result.

5. The information processing apparatus according to claim 3 or 4, characterized in that, The feature information generation unit performs statistical processing on multiple measurement information obtained by the measurement information acquisition unit, and in the detection results, the specific disease information only appears in the features included in the detection results of the measurement information indicating the disease.

6. The information processing apparatus according to claim 3 or 4, characterized in that, The feature information generation unit performs machine learning based on the combination of the disease information and the detection results, and generates learned information as the feature information, which takes the detection results as input and outputs disease information.

7. A program product that enables a computer to operate as an information processing device, characterized in that: The information processing device includes a measurement information acquisition unit, a feature information generation unit, and a feature information provision unit; The measurement information acquisition unit is configured to acquire measurement information, which includes a detection result obtained by detecting the odor of the subject's breath using an odor sensor and disease information indicating whether the subject has a predetermined disease. The measurement information includes the resonant frequencies of the multiple quartz oscillator sensors included in the odor sensor after a predetermined time has elapsed since the start of the detection as the detection result. The feature information generation unit is configured to generate feature information representing exhalation characteristics of the disease based on the detection results included in the measurement information indicating the presence of the disease and the detection results included in the measurement information indicating the absence of the disease. The feature information providing unit is configured to provide the feature information to the terminal.

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