Prediction of response to antiretroviral therapy by human experts and by the EuResist data-driven expert system (the EVE study).
about
Can linear regression modeling help clinicians in the interpretation of genotypic resistance data? An application to derive a lopinavir-scoreThe individualized genetic barrier predicts treatment response in a large cohort of HIV-1 infected patientsUsing drug exposure for predicting drug resistance - A data-driven genotypic interpretation toolHow next-generation sequencing and multiscale data analysis will transform infectious disease management.Determination of Phenotypic Resistance Cutoffs From Routine Clinical DataScoring methods for building genotypic scores: an application to didanosine resistance in a large derivation setDetection of cytomegalovirus drug resistance mutations by next-generation sequencing.Computational models can predict response to HIV therapy without a genotype and may reduce treatment failure in different resource-limited settings.An update to the HIV-TRePS system: the development of new computational models that do not require a genotype to predict HIV treatment outcomes.Integrated multisystem analysis in a mental health and criminal justice ecosystem.Predicting response to antiretroviral treatment by machine learning: the EuResist project.Combining Kernel and Model Based Learning for HIV Therapy Selection.Integrated multisystem analysis in a mental health and criminal justice ecosystem.HIV-GRADE: a publicly available, rules-based drug resistance interpretation algorithm integrating bioinformatic knowledge.Computational models as predictors of HIV treatment outcomes for the Phidisa cohort in South Africa.Predicting human-immunodeficiency virus rebound after therapy initiation/switch using genetic, laboratory, and clinical dataCorrigendum
P2860
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P2860
Prediction of response to antiretroviral therapy by human experts and by the EuResist data-driven expert system (the EVE study).
description
2010 nî lūn-bûn
@nan
2010 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
name
Prediction of response to anti ...... expert system (the EVE study).
@ast
Prediction of response to anti ...... expert system (the EVE study).
@en
type
label
Prediction of response to anti ...... expert system (the EVE study).
@ast
Prediction of response to anti ...... expert system (the EVE study).
@en
prefLabel
Prediction of response to anti ...... expert system (the EVE study).
@ast
Prediction of response to anti ...... expert system (the EVE study).
@en
P2093
P2860
P50
P1433
P1476
Prediction of response to anti ...... expert system (the EVE study)
@en
P2093
A M J Wensing
A Sönnerborg
C A Boucher
E Schülter
F Brun-Vezinet
F Incardona
M Obermeier
P2860
P304
P356
10.1111/J.1468-1293.2010.00871.X
P50
P577
2010-08-19T00:00:00Z