William AB, Strickland T, Kline DM, Pribish AB, McCallum M, Gebregzabheir A, Loeb D, Shilling LM. Assessing the Feasibility of a Machine Learning-Based Computational Phenotype for Identifying Transgender and Gender Diverse Patients in the OMOP Common Data Model. Short report presented at: 2023 OHDSI Global Symposium. 2023 Oct 20-22; East Brunswick, NJ.