Developing and Validating a Computable Phenotype for the Identification of Transgender and Gender Nonconforming Individuals and Subgroups

Transgender and gender nonconforming (TGNC) individuals face significant marginalization, stigma, and discrimination. Under-reporting of TGNC individuals is common since they are often unwilling to self-identify. Meanwhile, the rapid adoption of electronic health record (EHR) systems has made large-...

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Bibliografski detalji
Izdano u:AMIA Annu Symp Proc
Glavni autori: Guo, Yi, He, Xing, Lyu, Tianchen, Zhang, Hansi, Wu, Yonghui, Yang, Xi, Chen, Zhaoyi, Markham, Merry Jennifer, Modave, François, Xie, Mengjun, Hogan, William, Harle, Christopher A., Shenkman, Elizabeth A, Bian, Jiang
Format: Artigo
Jezik:Inglês
Izdano: American Medical Informatics Association 2021
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Articles
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8075543/
https://ncbi.nlm.nih.gov/pubmed/33936425
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