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Unlocking the Power of EHRs: Harnessing Unstructured Data for Machine Learning-based Outcome Predictions
2023-02-23
health informatics
Title + abstract only
View on medRxiv
Show abstract
The integration of Electronic Health Records (EHRs) with Machine Learning (ML) models has become imperative in examining patient outcomes due to the vast amounts of clinical data they provide. However, critical information regarding social and behavioral factors that affect health, such as social isolation, stress, and mental health complexities, is often recorded in unstructured clinical notes, hindering its accessibility. This has resulted in an over-reliance on clinical data in current EHR-ba...
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