A Review of Challenges and Opportunities in Machine Learning for Health

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, pp. 191-200, 2020.

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Abstract:

Modern electronic health records (EHRs) provide data to answer clinically meaningful questions. The growing data in EHRs makes healthcare ripe for the use of machine learning. However, learning in a clinical setting presents unique challenges that complicate the use of common machine learning methodologies. For example, diseases in EHRs a...More

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