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Enabling scalable clinical interpretation of ML-based phenotypes using real world data
This endangers the final step of analysis where an actionable and clinically meaningful interpretation is needed. This study investigates approaches to perform patient stratification analysis at scale using large EHR datasets and multiple clustering methods for clinical research.
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