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EHR-ML: A data-driven framework for designing machine learning applications with electronic health records
13
Zitationen
5
Autoren
2025
Jahr
Abstract
EHR-ML enhances the clinical relevance and accuracy of predictive models by incorporating local context into machine learning applications. Additionally, by providing an user-friendly fully-automated framework, it facilitates rapid hypothesis testing aimed to generate localised biomedical knowledge.
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