Development and validation of an algorithm to identify patients newly diagnosed with hiv infection from electronic health records

AIDS Research and Human Retroviruses

Volumn 30, Issue 7, 2014, Pages 626-633

  Goetz, Matthew Bidwell ^a   Hoang, Tuyen ^a   Kan, Virginia L ^b   Rimland, David ^c   Rodriguez Barradas, Maria ^d  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b GEORGE WASHINGTON UNIVERSITY   (United States)

^c EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d MICHAEL E DEBAKEY VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

VIRUS RNA;

ADULT; ARTICLE; CD4 LYMPHOCYTE COUNT; CLINICAL ARTICLE; DIAGNOSTIC TEST ACCURACY STUDY; ELECTRONIC MEDICAL RECORD; FEMALE; HIV TEST; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS 1; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; ICD-9-CM; LABORATORY TEST; MALE; PREDICTIVE VALUE; PRIORITY JOURNAL; RISK FACTOR; SENSITIVITY AND SPECIFICITY; ALGORITHM; BLOOD; GENETICS; HIV INFECTIONS; INTERNATIONAL CLASSIFICATION OF DISEASES; MIDDLE AGED; VALIDATION STUDY; VETERAN; VETERANS HEALTH;

ALGORITHMS; CD4 LYMPHOCYTE COUNT; ELECTRONIC HEALTH RECORDS; FEMALE; HIV INFECTIONS; HIV-1; HUMANS; INTERNATIONAL CLASSIFICATION OF DISEASES; MALE; MIDDLE AGED; RISK FACTORS; RNA, VIRAL; VETERANS; VETERANS HEALTH;

EID: 84903763096     PISSN: 08892229     EISSN: 19318405     Source Type: Journal    
DOI: 10.1089/aid.2013.0287     Document Type: Article

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