Abstract: A data generation method for generating data for domain generalization in machine learning includes performing, with a computer, augmentation using training data as raw data usable to train a machine learning model, and extracting, with the computer, a dataset including the raw data and data generated through the augmentation as a dataset for the domain generalization.

Abstract: Provided is an image determination device. The image determination device is provided with: feature extractors which output, on the basis of an image to be examined, each piece of feature data indicating a specific feature of the image; a determiner which outputs, on the basis of the feature data output from the extractors, output data indicating the determination result pertaining to the image; and a training part which trains the determiner so as to output, output data indicating the label data associated with the training image on the basis of the feature data output when the training image is input to the extractors, wherein the training part further trains, by using new training data, the determiner so that the output data indicating the label data associated with the image is output by the determiner.

Abstract: An image determination device includes feature extractors which output, on the basis of an image to be examined, each piece of feature data indicating a specific feature of the image; a first training part which trains a first determiner so as to output first output data indicating first label data associated with a first training image on the basis of first feature data output when the first training image is input to the feature extractors; a second training part which trains a second determiner so as to output second output data indicating second label data associated with a second training image on the basis of second feature data output when the second training image is input to the feature extractors; and an output part which outputs, on the basis of the first output data and the second output data, output data indicating an overall determination result about an image.

Abstract: An image determination device includes: a training model which outputs, on the basis of an image to be examined, output data indicating a determination result about the image; a training part which trains the training model to output, by using training data including a training image and label data, output data indicating the label data associated with the training image, when the training image is input to the training model; a dividing part which divides the training data into a plurality of pieces of sub-training data; a measurement part which measures accuracy of determination when the training part trains the training model by using each of the plurality of pieces of sub-training data; and selection part which selects at least any one among the plurality of pieces of sub-training data on the basis of the accuracy of determination.

Abstract: An image determination device includes: a training model which outputs, on the basis of an image to be examined, output data indicating a determination result about the image; a training part which trains the training model to output, by using training data including a training image and label data, output data indicating the label data associated with the training image, when the training image is input to the training model; a dividing part which divides the training data into a plurality of pieces of sub-training data; a measurement part which measures accuracy of determination when the training part trains the training model by using each of the plurality of pieces of sub-training data; and selection part which selects at least any one among the plurality of pieces of sub-training data on the basis of the accuracy of determination.

Abstract: A biological information analyzing device includes: an indicator extraction unit that extracts an indicator pertaining to a characteristic of a blood pressure waveform using data of the blood pressure waveform obtained by a sensor, which is worn on a user's body and can non-invasively measure the blood pressure waveform for each of heartbeats, continuously measuring the blood pressure waveform; and a processing unit that carries out a process based on the extracted indicator.

Abstract: A vital information measuring apparatus according to an aspect of the present invention is a vital information measuring apparatus for measuring vital information by compressing a measurement site of a subject with a cuff, and includes a fluid supply unit configured to supply a fluid to the cuff, and a first fluid supply controller configured to control, when a situation of the subject satisfies a first condition in which measurement of the vital information is recommended, a supply of the fluid to the cuff by the fluid supply unit to compress the measurement site in a first compression mode for informing the subject that the first condition is satisfied.

Abstract: According to a first aspect of the invention, an information processing apparatus includes an information acquisition unit configured to acquire first blood pressure information and second blood pressure information that is information earlier than the first blood pressure information, a blood pressure fluctuation detector configured to detect a blood pressure fluctuation exceeding a first reference value from the first and second blood pressure information, and a fluctuation information output unit configured to output blood pressure fluctuation information that reports the blood pressure fluctuation.

Abstract: A biological information analysis device including: an indicator extraction unit configured to extract an indicator indicating a cardiac state, from data regarding blood pressure waveforms that are consecutively measured by a sensor that is configured to be worn on a body part of a user and to be capable of non-invasively measuring a blood pressure waveform for each heartbeat; and a processing unit configured to output the indicator extracted by the indicator extraction unit. The indicator extraction unit is configured to extract a value of a cardiac load indicator for each heartbeat, from the data regarding blood pressure waveforms, and calculate the indicator indicating the cardiac state, based on characteristics related to distribution of values of the cardiac load indicator corresponding to a plurality of heartbeats.

Abstract: A biological information analysis device including: an indicator extraction unit that is configured to extract, from time-series data regarding blood pressure waveforms consecutively measured by a sensor that is configured to be worn on a body part of a user and to be capable of non-invasively measuring a blood pressure waveform for each heartbeat, data regarding blood pressure waveforms corresponding to a period of time in which a change in blood pressure occurs, and extract an indicator that is related to the functionality of respiratory organs of the user, based on characteristics of the blood pressure waveforms corresponding to the period of time; and a processing unit that performs processing that is based on the indicator thus extracted.

Abstract: Provided is an image determination device. The image determination device is provided with: feature extractors which output, on the basis of an image to be examined, each piece of feature data indicating a specific feature of the image; a determiner which outputs, on the basis of the feature data output from the extractors, output data indicating the determination result pertaining to the image; and a training part which trains the determiner so as to output, output data indicating the label data associated with the training image on the basis of the feature data output when the training image is input to the extractors, wherein the training part further trains, by using new training data, the determiner so that the output data indicating the label data associated with the image is output by the determiner.

Abstract: An image determination device includes: a training model which outputs, on the basis of an image to be examined, output data indicating a determination result about the image; a training part which trains the training model to output, by using training data including a training image and label data, output data indicating the label data associated with the training image, when the training image is input to the training model; a dividing part which divides the training data into a plurality of pieces of sub-training data; a measurement part which measures accuracy of determination when the training part trains the training model by using each of the plurality of pieces of sub-training data; and selection part which selects at least any one among the plurality of pieces of sub-training data on the basis of the accuracy of determination.

Abstract: An image determination device includes feature extractors which output, on the basis of an image to be examined, each piece of feature data indicating a specific feature of the image; a first training part which trains a first determiner so as to output first output data indicating first label data associated with a first training image on the basis of first feature data output when the first training image is input to the feature extractors; a second training part which trains a second determiner so as to output second output data indicating second label data associated with a second training image on the basis of second feature data output when the second training image is input to the feature extractors; and an output part which outputs, on the basis of the first output data and the second output data, output data indicating an overall determination result about an image.

Abstract: When creating a medical questionnaire of a patient, a medical questionnaire creation assist terminal acquires past clinical data of the patient from an EMR server or an EHR server on the basis of medical questionnaire template data, and also acquires PHR data from a mobile information terminal of the patient to create medical questionnaire basic data. Then, the medical questionnaire creation assist terminal creates medical questionnaire completed data by adding medical interview statement information manually input by the patient or medical staff to incomplete items in the medical questionnaire basic data, and notifies a physician terminal of the medical questionnaire completed data.

Abstract: The present disclosure provides a device for predicting body weight of a person and device and method for health management. The device for predicting body weight of a person according to the present disclosure includes an acquisition unit for obtaining blood pressure of each person in multiple persons; an input unit for inputting body weights of the persons; a storage unit for associatively storing the blood pressure and the corresponding body weights; a combination unit for obtaining average blood pressure and obtaining an average body weight, wherein the average blood pressure and the average body weight are associatively stored in the storage unit as learning data; and a prediction unit for performing machine learning on the basis of the learning data and predict body weight. The organism data is processed to an extent that makes the detected persons unidentifiable.

Abstract: A vital information measuring apparatus according to an aspect of the present invention is a vital information measuring apparatus for measuring vital information by compressing a measurement site of a subject with a cuff, and includes a fluid supply unit configured to supply a fluid to the cuff, and a first fluid supply controller configured to control, when a situation of the subject satisfies a first condition in which measurement of the vital information is recommended, a supply of the fluid to the cuff by the fluid supply unit to compress the measurement site in a first compression mode for informing the subject that the first condition is satisfied.

Abstract: The present invention automatically acquires information about a living body at a time at which an effect of a medicine is generated. The present invention includes an acquisition control unit configured to acquire information about a medicine and time information about when the medicine is to be taken, a calculation control unit configured to calculate an effect generation time period in which an effect of the medicine is estimated to be generated, based on the information about the medicine and the time information, and a biological information acquisition control unit configured to perform processing for acquiring information about a living body, based on the effect generation time period.

Abstract: According to one embodiment, an information processing apparatus includes a signal acquisition unit that acquires a signal representing a movement of a subject from a sensor that detects the movement of the subject, a measurement unit that measures at least one of an activity amount and a number of steps of the subject based on the signal representing the movement of the subject, and an estimation unit that estimates a situation of the subject based on at least one of the activity amount or the number of steps.

Abstract: An apparatus according to an aspect of the present invention includes an acquisition unit is configured to acquire a blood pressure value of a subject measured by a blood pressure measurement unit, a first pulse rate of the subject at a normal time, and a second pulse rate of the subject in a time period in which the blood pressure value is measured, a calculation unit is configured to calculate a first tension degree of an autonomic nerve of the subject based on the first pulse rate and to calculate a second tension degree of the autonomic nerve of the subject based on the second pulse rate, and a determination unit is configured to determine a type of blood pressure of the blood pressure value based on the blood pressure value, the first tension degree, and the second tension degree.

Abstract: According to a first aspect of the invention, an information processing apparatus includes an information acquisition unit configured to acquire first blood pressure information and second blood pressure information that is information earlier than the first blood pressure information, a blood pressure fluctuation detector configured to detect a blood pressure fluctuation exceeding a first reference value from the first and second blood pressure information, and a fluctuation information output unit configured to output blood pressure fluctuation information that reports the blood pressure fluctuation.