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A5063927118
Research Areas
- Artificial Intelligence in Healthcare
- Health, Environment, Cognitive Aging
- Machine Learning in Healthcare
<sec> <title>BACKGROUND</title> Machine learning (ML) is increasingly employed to predict risk for a variety of medical conditions. Commonly, large datasets are created using electronic health records (EHR) and algorithms assign single, often binary, label. No rationale provided the label performance usually poor when small. </sec> <title>OBJECTIVE</title> Our approach demonstrates feasibility small with deep ML by training first on intermediate steps where redundant information available....
10.2196/preprints.46150
preprint
EN
2023-01-31
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