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Journal article

Computational models as predictors of HIV treatment outcomes for the Phidisa cohort in South Africa

Abstract:
Background: Selecting the optimal combination of HIV drugs for an individual in resourcelimited settings is challenging because of the limited availability of drugs and genotyping. Objective: The evaluation as a potential treatment support tool of computational models that predict response to therapy without a genotype, using cases from the Phidisa cohort in South Africa. Methods: Cases from Phidisa of treatment change following failure were identified that ... Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's Version

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Publisher copy:
10.4102/sajhivmed.v17i1.450

Authors


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National Institute of Allergy and Infectious Diseases More from this funder
Publisher:
Health and Medical Publishing Group Publisher's website
Journal:
Southern African Journal of HIV Medicine Journal website
Volume:
17
Issue:
1
Pages:
a450
Publication date:
2016-06-30
Acceptance date:
2016-04-22
DOI:
EISSN:
2078-6751
ISSN:
1608-9693
Pubs id:
pubs:897615
URN:
uri:93aeb64d-1941-4428-99b1-45055cd3602c
UUID:
uuid:93aeb64d-1941-4428-99b1-45055cd3602c
Local pid:
pubs:897615
Language:
English

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