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Abstract

An exacerbation risk prediction system predicts an exacerbation risk of a patient suffering from a respiratory disease. The exacerbation risk prediction system includes an oxygen concentrator that supplies oxygen to the patient through a cannula, an acquisition unit that acquires first information including biological information of the patient wearing the cannula on exertion and at rest and patient information regarding a disease state, a storage that stores the first information, a prediction unit that predicts the exacerbation risk based on the first information, and a learning unit that learns the first information and an evaluation regarding exacerbation in association with each other. The biological information is at least one of respiratory rate, respiratory waveform, and exhaled gas component amount. The biological information is acquired from the oxygen concentrator. The prediction unit predicts the exacerbation risk by inputting the first information to a learning model created by the learning unit.

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First Claim