MODEL GENERATION APPARATUS, MODEL GENERATION METHOD, CONDITION PREDICTION APPARATUS, CONDITION PREDICTION METHOD, AND RECORDING MEDIUM

    公开(公告)号:US20240152778A1

    公开(公告)日:2024-05-09

    申请号:US18272286

    申请日:2021-01-14

    CPC classification number: G06N5/022

    Abstract: A model generation apparatus includes: an acquisition unit for obtaining learning data including a first index value indicating a condition of a sample patient at a first time, and a second index value indicating a condition of the sample patient at a second time that is after the first time; and a learning unit for learning a prediction mode for predicting a condition of a target patient at the second time on the basis of a condition of the target patient at the first time, wherein the learning unit is configured to learn the prediction model by updating the prediction model on the basis of a third index value indicating a condition of the sample patient at the second time that is predicted by the prediction model on the basis of the first index value, and a change information indicating a change tendency of the condition over time.

    INFORMATION PROCESSING METHOD
    3.
    发明公开

    公开(公告)号:US20230395259A1

    公开(公告)日:2023-12-07

    申请号:US18022728

    申请日:2020-08-28

    CPC classification number: G16H50/30 G16H50/50

    Abstract: An information processing apparatus 100 includes an input unit 121 and a generation unit 122. The input unit 121 receives input of a first assessment value representing assessment of a subject at a predetermined point of time and input of a second assessment value representing assessment of the subject after a predetermined time elapsed from the predetermined point of time. The first and second assessment values are values for each of an item of the Stroke Impairment Assessment Set (SIAS) and an item of a second index, different from the SIAS, for assessing the condition of a human body. The generation unit 122 generates a model for calculating the second assessment value with respect to the first assessment value for each item of the SIAS and the second index, on the basis of information representing a relationship between the item of the SIAS and the item of the second index.

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