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eNauka >  Results >  Computational models as predictors of HIV treatment outcomes for the Phidisa cohort in South Africa
Naziv: Computational models as predictors of HIV treatment outcomes for the Phidisa cohort in South Africa
Autori: 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;
Godina: 2016
Publikacija: Southern African Journal of HIV Medicine
ISSN: 1608-9693 Southern African Journal of HIV Medicine Pretraži identifikator
Tip rezultata: Naučni članak
Kolacija: 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
Izvor metapodataka: Migrirano iz RIS podataka
M-kategorija: 
23M23 - Međunarodni časopis kategorije M23

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