Computational phenotyping within electronic healthcare data to identify transgender people in the United States: A narrative review
Theo G. Beltran,
Elle Lett,
Tonia Poteat
et al.
Abstract:PurposeWith the expansion of research utilizing electronic healthcare data to identify transgender (TG) population health trends, the validity of computational phenotype (CP) algorithms to identify TG patients is not well understood. We aim to identify the current state of the literature that has utilized CPs to identify TG people within electronic healthcare data and their validity, potential gaps, and a synthesis of future recommendations based on past studies.MethodsAuthors searched the National Library of … Show more
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