A deep learning approach for transgender and gender diverse patient identification in electronic health records

. Author manuscript; available in PMC: 2024 Nov 1.

Published in final edited form as: J Biomed Inform. 2023 Sep 29;147:104507. doi: 10.1016/j.jbi.2023.104507

Gender (Legal Sex)	Female
	Male
	Unknown
	X (Non-Binary)^*
Gender Identity	Chose not to disclose
	Female
	Male
	Non-binary^*
	Other^*
	Queer/Genderqueer^*
	Questioning/Unsure^*
	Transgender Female (Male-to-Female)^*
	Transgender Male (Female-to-Male)^*
	Unknown
Sex at Birth	Chose not to disclose
	Female
	Male
	Uncertain^*
	Unknown

Structured values considered as TGD, if available. Patient with a field value of “chose not to disclose” for gender identity or sex at birth were excluded from the study. “Unknown” was not considered a TGD indication because it does not contain determinant information. Terminology reflects the field options in the EHR at the time of data entry.