Predicting Virological Response to HIV Treatment Over Time: A Tool for Settings With Different Definitions of Virological Response
- Resource Type
- 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
- Subject
- machine learning
antiretroviral therapy
HIV/AIDS
treatment response
data mining
viral load
- Language
- ISSN
- 1525-4135
Objective: Definitions of virological response vary from