Results

eNauka >  Results >  Computational models as predictors of HIV treatment outcomes for the Phidisa cohort in South Africa
Title: Computational models as predictors of HIV treatment outcomes for the Phidisa cohort in South Africa
Authors: Revell, Andrew; Khabo, Paul; Ledwaba, Lotty; Emery, Sean; Wang, Dechao; Wood, Robin; Morrow, Carl; Tempelman, Hugo; Hamers, Raph L.; Reiss, Peter;
Van, Sighem Ard; Pozniak, Anton; Montaner, Julio; Lane, H. Clifford; Larder, Brendan;
Issue Date: 2016
Publication: Southern African Journal of HIV Medicine
ISSN: 1608-9693 Southern African Journal of HIV Medicine Search Idenfier
Type: Article
Collation: vol. 17 br. 1
DOI: 10.4102/sajhivmed.v17i1.450
WoS-ID: 000393611100001
PMID: 29568609
PMCID: PMC5843195
URI: https://enauka.gov.rs/handle/123456789/297966
Metadata source: Migrirano iz RIS podataka
M-category: 
23M23

4.0
PubMed CentralTM
3.0
OpenCitations
5.0
WEB OF SCIENCETM
Altmetric
Dimensions
Unpaywall

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.