Open AccessComputational models as predictors of HIV treatment outcomes for the Phidisa cohort in South Africa
Author(s) -
Andrew D. Revell,
Paul Khabo,
Lotty Ledwaba,
Sean Emery,
Dechao Wang,
Robin Wood,
Carl Morrow,
Hugo Tempelman,
Raph L. Hamers,
Peter Reiss,
Ard van Sighem,
A. Pozniak,
Julio Montaner,
H. Clifford Lane,
Brendan A. Larder
Publication year - 2016
Publication title -
southern african journal of hiv medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.859
H-Index - 18
eISSN - 2078-6751
pISSN - 1608-9693
DOI - 10.4102/hivmed.v17i1.450
Subject(s) - medicine , viral load , cohort , genotyping , regimen , human immunodeficiency virus (hiv) , receiver operating characteristic , antiretroviral therapy , statistics , immunology , genotype , biochemistry , chemistry , mathematics , gene