US-20260128172-A1 - INFORMATION PROCESSING METHOD, INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING RECORDING MEDIUM, METHOD FOR GENERATING TRAINED MODEL, TRAINED MODEL, AND MEASUREMENT DEVICE

US20260128172A1US 20260128172 A1US20260128172 A1US 20260128172A1US-20260128172-A1

Abstract

An information processing method, an information processing apparatus, and an information processing program that are capable of determining the presence or absence of a symptom of a respiratory disease with high accuracy, a trained model used for these information processing method, apparatus, and program, a method for generating the trained model, and a measurement device. A processor performs processing for acquiring data based on measurement data from a subject and indicating a respiratory state of the subject, acquiring medication history information related to the subject and exercise history information related to the subject in a period prior to a measurement timing of the measurement data, inputting the data, the medication history information, and the exercise history information to a trained model, and obtaining a determination result on the presence or absence of a symptom of a respiratory disease in the subject from the trained model.

Inventors

Hideyuki Kobayashi
Yoshihiro SUESE

Assignees

OMRON HEALTHCARE CO., LTD.

Dates

Publication Date: 20260507
Application Date: 20251219
Priority Date: 20231225

Claims (11)

1 . An information processing method comprising: by a processor, acquiring data based on measurement data measured from a subject and indicating a respiratory state of the subject; acquiring action history information related to an action history of the subject in a period prior to a measurement timing of the measurement data; and inputting the data and the action history information to a trained model, and obtaining a determination result on presence or absence of a symptom of a respiratory disease in the subject from the trained model.
2 . The information processing method according to claim 1 , wherein the action history information includes at least one of medication history information related to a medication history or exercise history information related to an exercise history.
3 . The information processing method according to claim 2 , wherein the medication history information includes the number of times of medication in the period.
4 . The information processing method according to claim 2 , wherein the exercise history information includes information on an amount of exercise.
5 . The information processing method according to claim 3 , wherein the exercise history information includes information on an amount of exercise.
6 . The information processing method according to claim 2 , wherein the exercise history information includes information on a frequency at which an exercise has been performed under a specific condition.
7 . The information processing method according to claim 3 , wherein the exercise history information includes information on a frequency at which an exercise has been performed under a specific condition.
8 . An information processing apparatus comprising a processor configured to: acquire data based on measurement data measured from a subject and indicating a respiratory state of the subject; acquire action history information related to an action history of the subject in a period prior to a measurement timing of the measurement data; and input the data and the action history information to a trained model, and obtain a determination result on presence or absence of a symptom of a respiratory disease in the subject from the trained model.
9 . An information processing recording meaning causing a processor to execute: acquiring data based on measurement data measured from a subject and indicating a respiratory state of the subject; acquiring action history information related to an action history of the subject in a period prior to a measurement timing of the measurement data; and inputting the data and the action history information to a trained model, and obtaining a determination result on whether or not a symptom of a respiratory disease has appeared in the subject from the trained model.
10 . A method for generating a trained model, the method comprising: by a processor, acquiring, as training data, a plurality of pieces of data based on measurement data measured from a first subject and indicating a respiratory state of the first subject, a plurality of pieces of action history information related to an action history of the first subject in a period prior to a measurement timing of the measurement data, and a plurality of determination results by a doctor on whether or not a symptom of a respiratory disease has appeared in the first subject on a day including the measurement timing; and causing a recording medium to execute machine learning based on the plurality of pieces of training data to obtain a trained model that outputs a determination result on whether or not a symptom of a respiratory disease has appeared in a second subject upon an input of data based on measurement data measured from the second subject and indicating a respiratory state of the second subject, and action history information related to an action history of the second subject in a period prior to a measurement timing of the measurement data.
11 . A trained model having undergone machine learning using, as training data, data based on measurement data measured from a first subject and indicating a respiratory state of the first subject, action history information related to an action history of the first subject in a period prior to a measurement timing of the measurement data, and a determination result by a doctor on whether or not a symptom of a respiratory disease has appeared in the first subject on a day including the measurement timing, the trained model causing a processor to: output a determination result on whether or not a symptom of a respiratory disease has appeared in a second subject upon an input of data based on measurement data measured from the second subject and indicating a respiratory state of the second subject, and action history information related to an action history of the second subject in a period prior to a measurement timing of the measurement data.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS This application is the U.S. national stage application filed pursuant to 35 U.S.C. 365(c) and 120 as a continuation of International Patent Application No. PCT/JP2024/036153, filed October 9, 2024, which application claims priority to Japanese Patent Application No. 2023-218152, filed December 25, 2023, which applications are incorporated herein by reference in their entireties. FIELD The technology of the present disclosure relates to an information processing method, an information processing apparatus, an information processing program, a method for generating a trained model, a trained model, and a measurement device. BACKGROUND Patent Document 1 describes a treatment support device including a processor that acquires measurement sound data of a lung sound measurement device that is attached to the body of a subject and measures lung sound, acquires action data of the subject in a measurement period of the measurement sound data, and displays an image based on the measurement sound data and the action data on a display device of an external device. Patent Document 2 discloses a treatment support device including a processor which acquires determination result data of a device which determines an airway state of a subject during a measurement period of a lung sound based on the lung sound measured from the subject, and state information indicating a state of the subject in a period different from the measurement period in a day including the measurement period, and records the determination result data and the state information in association with each other. CITATION LIST Patent Literature Patent Document 1: JP 2022-016972 A Patent Document 2: JP 2021-194272 A SUMMARY Technical Problem The presence or absence of symptoms of a respiratory disease such as asthma, pulmonary fibrosis, upper airway obstruction, or chronic obstructive pulmonary disease is determined with high accuracy by a doctor directly examining a patient using a stethoscope or the like. On the other hand, devices such as a peak flow meter and a sensor that can detect wheezing are also known, and if such a device is used, it is possible to determine the presence or absence of symptoms without having to see a doctor. The determination of the presence or absence of a symptom by the device is performed using breath sound, vital capacity, or the like measured from the patient. However, since the state of the body of a patient varies, it is desirable to determine the presence or absence of a symptom in consideration of the state. An object of the technology of the present disclosure is to provide an information processing method, an information processing apparatus, and an information processing program that are capable of determining the presence or absence of a symptom of a respiratory disease with high accuracy, and to provide a trained model used for these information processing method, apparatus, and program, a method for generating the trained model, and a measurement device. Solution to Problem The technique of the present disclosure is as follows. Note that components and the like corresponding to those in the following embodiments are indicated in parentheses, but the components are not limited thereto. (1) An information processing method including: by a processor (processor 11),acquiring data (processed measurement data) based on measurement data measured from a subject (user) and indicating a respiratory state of the subject; acquiring action history information related to an action history of the subject in a period prior to a measurement timing of the measurement data; and inputting the data and the action history information to a trained model (trained model 13) and obtaining a determination result on the presence or absence of a symptom of a respiratory disease in the subject from the trained model. (2) The information processing method according to (1), in which the action history information includes at least one of medication history information related to a medication history or exercise history information regarding an exercise history. (3) The information processing method according to (2), in which the medication history information includes the number of times of medication in the period. (4) The information processing method according to (2) or (3), in which the exercise history information includes information on an amount of exercise. (5) The information processing method according to claim (2) or (3), in which the exercise history information includes information on a frequency at which an exercise has been performed under a specific condition. (6) An information processing apparatus (information processing server 10) including: a processor (processor 11) configured to: acquire data (processed measurement data) based on measurement data measured from a subject (user) and indicating a respiratory state of the subject; acquire action history information related to an action hist