Rehabilitation evaluation method and device based on deep learning, and medium
A technology of deep learning and dimensional data, applied in the computer field, to achieve effective results in rehabilitation assessment
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[0062] Example: A construction site is expected to break ground in January.
[0063] Risk factors: construction site;
[0064] Risk groups: residents of nearby communities (communities A and B) and construction workers
[0065] Data collection: Collect health service record form data, environmental impact factor data, rehabilitation condition data, and rehabilitation theory research data of risk groups as the test data set for the evaluation model. Search the database, among them, the major construction casualties in communities C and D, the health service record form data, environmental impact factor data, rehabilitation condition data and rehabilitation theory research data of residents in communities C and D are used as the test and verification of the evaluation model data set. In the collected database cases, the sum of the physical function evaluation values, mental function evaluation values, language function evaluation values, and social function evaluation values ...
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