Application US20200411195 AI Biotech/Diagnostics: Cardio

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Application US20200411195

Published 2020-12-31

Learning System, Rehabilitation Support System, Method, Program, And Trained Model

An acquisition unit acquires a classification result obtained by classifying training assistants by performing a cluster analysis based on first rehabilitation data about rehabilitation performed by the trainee by using the rehabilitation support system, the first rehabilitation data including at least assistant data indicating a training assistant and index data indicating a degree of recovery of the trainee. A learning unit generates a learning model, the learning model being configured to input second rehabilitation data including at least the action data indicating an assisting action performed by the training assistant to assist the trainee and output the action data for suggesting a next action to be performed by the training assistant. The learning unit generates the learning model by using, as teacher data, the second rehabilitation data for which pre-processing has been performed based on the classification result.

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4 Independent Claims

1. A learning system comprising: an acquisition unit configured to acquire a classification result obtained by classifying training assistants by performing a cluster analysis for first rehabilitation data about rehabilitation performed by a trainee by using a rehabilitation support system, the first rehabilitation data including at least assistant data indicating a training assistant who assists the trainee, action data indicating an assisting action performed by the training assistant to assist the trainee, and index data indicating a degree of recovery of the trainee; and a learning unit configured to generate a learning model, the learning model being configured to input second rehabilitation data including at least the action data and output the action data for suggesting a next action to be performed by the training assistant, wherein the learning unit generates the learning model by using, as teacher data, the second rehabilitation data for which pre-processing has been performed based on the classification result.
12. A learning system comprising: an acquisition unit configured to acquire a classification result obtained by classifying training assistants by performing a cluster analysis for first data about training performed by a trainee by using a training support system, the first data including at least assistant data indicating a training assistant who assists the trainee, action data indicating an assisting action performed by the training assistant to assist the trainee, and index data indicating a degree of an improvement in a physical function of the trainee; and a learning unit configured to generate a learning model, the learning model being configured to input second data including at least the action data and output the action data for suggesting a next action to be performed by the training assistant, wherein the learning unit generates the learning model by using, as teacher data, the second data for which pre-processing has been performed based on the classification result.
16. A learning method comprising: an acquisition step of acquiring a classification result obtained by classifying training assistants by performing a cluster analysis for first rehabilitation data about rehabilitation performed by a trainee by using a rehabilitation support system, the first rehabilitation data including at least assistant data indicating a training assistant who assists the trainee, action data indicating an assisting action performed by the training assistant to assist the trainee, and index data indicating a degree of recovery of the trainee; and a learning step of generating a learning model, the learning model being configured to input second rehabilitation data including at least the action data and output the action data for suggesting a next action to be performed by the training assistant, wherein in the learning step, the learning model is generated by using, as teacher data, the second rehabilitation data for which pre-processing has been performed based on the classification result.
18. A non-transitory computer readable medium storing a program for causing a computer to perform: an acquisition step of acquiring a classification result obtained by classifying training assistants by performing a cluster analysis for first rehabilitation data about rehabilitation performed by a trainee by using a rehabilitation support system, the first rehabilitation data including at least assistant data indicating a training assistant who assists the trainee, action data indicating an assisting action performed by the training assistant to assist the trainee, and index data indicating a degree of recovery of the trainee; and a learning step of generating a learning model, the learning model being configured to input second rehabilitation data including at least the action data and output the action data for suggesting a next action to be performed by the training assistant, wherein in the learning step, the learning model is generated by using, as teacher data, the second rehabilitation data for which pre-processing has been performed based on the classification result.