Machine Learning & Artificial Intelligence
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COVID-19 and Substance Misuse Case Identification using Data Science: A Retrospective Cohort Study
This project will provide novel and critically important tools in artificial intelligence for the detection of substance misuse and COVID-19 from the electronic health record (EHR). Development and validation of a digital classifier would enable a standardized approach to perform screening on all patient encounters on a daily basis in health systems. We will rigorously develop and test the classifier retrospectively on an existing dataset of 60,000 patients who have been screened for COVID-19.