A novel method for estimating transgender status using electronic medical records

Annals of Epidemiology

Volumn 26, Issue 3, 2016, Pages 198-203

  Roblin, Douglas ^a,b   Barzilay, Joshua ^b   Tolsma, Dennis ^b   Robinson, Brandi ^b   Schild, Laura ^b   Cromwell, Lee ^b   Braun, Hayley ^c   Nash, Rebecca ^c   Gerth, Joseph ^d   Hunkeler, Enid ^e   Quinn, Virginia P ^b   Tangpricha, Vin ^f,g   Goodman, Michael ^c  

^a GEORGIA STATE UNIVERSITY   (United States)

^b KAISER PERMANENTE   (United States)

^c EMORY UNIVERSITY   (United States)

^d EMORY UNIVERSITY   (United States)

^e DIVISION OF RESEARCH   (United States)

^f EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^g ATLANTA VA MEDICAL CENTER   (United States)

Author keywords

Algorithm; Electronic medical records; Prevalence; Transgender

Indexed keywords

ALGORITHM; ARTICLE; COMPUTER PROGRAM; ELECTRONIC MEDICAL RECORD; FEMALE; FEMALE TO MALE TRANSGENDER; GENDER IDENTITY; HUMAN; ICD-9; INTEGRATED HEALTH CARE SYSTEM; KAISER PERMANENTE GEORGIA; MAJOR CLINICAL STUDY; MALE; MALE TO FEMALE TRANSGENDER; PRIORITY JOURNAL; SEX DETERMINATION; DECISION SUPPORT SYSTEM; ELECTRONIC HEALTH RECORD; GEORGIA; PSYCHOLOGY; TRANSGENDER; TRANSSEXUALISM;

ALGORITHMS; DECISION SUPPORT TECHNIQUES; ELECTRONIC HEALTH RECORDS; FEMALE; GENDER IDENTITY; GEORGIA; HUMANS; MALE; TRANSGENDER PERSONS; TRANSSEXUALISM;

EID: 84960402214     PISSN: 10472797     EISSN: 18732585     Source Type: Journal    
DOI: 10.1016/j.annepidem.2016.01.004     Document Type: Article

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