Predicting Virological Response to HIV Treatment Over Time: A Tool for Settings With Different Definitions of Virological Response

Authors :: Revell, AD
Wang, DC
Reiss, P
van Sighem, AI
Montaner, JSG
Larder, BA
Harrigan, R
de Wit, TR
Hamers, R
Sigaloff, K
Agan, B
Marconi, V
Wegner, S
Sugiura, W
Zazzi, M
Kaiser, R
Schuelter, E
Streinu-Cercel, A
Bals, M
Alvarez-Uria, G
de Oliveira, T
Lazzari, E
Gazzard, B
Nelson, M
Pozniak, A
Mandalia, S
Smith, C
Ruiz, L
Clotet, B
Staszewski, S
Lane, HC
Julia, A
Metcalf
Rehm, CA
Perez-Elias, MJ
Vella, S
Dettorre, G
Carr, A
Norris, R
Hesse, K
Vlahakis, E
Tempelman, H
Barth, R
Wood, R
Morrow, C
Cogill, D
Hoffmann, C
Ene, L
Dragovic, G
Diaz, R
Sucupira, C
Sued, O
Cesar, C
Madero, JS
Balakrishnan, P
Saravanan, S
Cooper, D
Torti, C
Baxter, J
Monno, L
Gatell, J
Picchio, G
deBethune, MP
Emery, S
Khabo, P
Ledwaba, L
Source :: JAIDS-JOURNAL OF ACQUIRED IMMUNE DEFICIENCY SYNDROMES, r-IGTP. Repositorio Institucional de Producción Científica del Instituto de Investigación Germans Trias i Pujol, instname
Publication Year :: 2019
Publisher :: Lippincott Williams & Wilkins Ltd., 2019.
Abstract: Objective: Definitions of virological response vary from

Subjects :: machine learning
antiretroviral therapy
HIV/AIDS
treatment response
data mining
viral load

ISSN :: 15254135
Database :: OpenAIRE
Journal :: JAIDS-JOURNAL OF ACQUIRED IMMUNE DEFICIENCY SYNDROMES, r-IGTP. Repositorio Institucional de Producción Científica del Instituto de Investigación Germans Trias i Pujol, instname
Accession number :: edsair.RECOLECTA.....0454442b2cca4b598b4054c5588b6421

Tools