Changing patterns of mortality across Europe in patients infected with HIV-1, The Lancet, vol.352, issue.9142, pp.1725-1730, 1998. ,
DOI : 10.1016/S0140-6736(98)03201-2
Declining Morbidity and Mortality among Patients with Advanced Human Immunodeficiency Virus Infection, New England Journal of Medicine, vol.338, issue.13, pp.853-860, 1998. ,
DOI : 10.1056/NEJM199803263381301
HIV Pathogenesis and Treatment Strategies, Journal of Acquired Immune Deficiency Syndromes & Human Retrovirology, vol.10, issue.Supplement, pp.20-23, 1995. ,
DOI : 10.1097/00042560-199510001-00005
URL : http://pdfs.journals.lww.com/jaids/1995/10001/HIV_Pathogenesis_and_Treatment_Strategies_.5.pdf?token=method|ExpireAbsolute;source|Journals;ttl|1500364655666;payload|mY8D3u1TCCsNvP5E421JYK6N6XICDamxByyYpaNzk7FKjTaa1Yz22MivkHZqjGP4kdS2v0J76WGAnHACH69s21Csk0OpQi3YbjEMdSoz2UhVybFqQxA7lKwSUlA502zQZr96TQRwhVlocEp/sJ586aVbcBFlltKNKo+tbuMfL73hiPqJliudqs17cHeLcLbV/CqjlP3IO0jGHlHQtJWcICDdAyGJMnpi6RlbEJaRheGeh5z5uvqz3FLHgPKVXJzdAAQS7y/8w3Dq5i5dRFwF1YgyDdrtEvVD0K/P4t0Z0SM=;hash|sdGxVfnExB5ptHv2zRYSTA==
HIV replication and pathogenesis, Current Opinion in Infectious Diseases, vol.9, issue.1, pp.7-13, 1996. ,
DOI : 10.1097/00001432-199602000-00003
2011 update of the drug resistance mutations in HIV-1, Top Antivir Med, vol.19, pp.156-164, 2011. ,
Genotypic Testing for Human Immunodeficiency Virus Type 1 Drug Resistance, Clinical Microbiology Reviews, vol.15, issue.2, p.247, 2002. ,
DOI : 10.1128/CMR.15.2.247-277.2002
URL : http://cmr.asm.org/content/15/2/247.full.pdf
Web Resources for HIV Type 1 Genotypic-Resistance Test Interpretation, Clinical Infectious Diseases, vol.42, issue.11, pp.1608-1618, 2006. ,
DOI : 10.1086/503914
URL : https://academic.oup.com/cid/article-pdf/42/11/1608/794869/42-11-1608.pdf
Prediction of response to antiretroviral therapy by human experts and by the EuResist data-driven expert system (the EVE study), HIV Medicine, vol.64, issue.4, pp.211-218, 2011. ,
DOI : 10.1093/jac/dkp252
Initiatives for Developing and Comparing Genotype Interpretation Systems: External Validation of Existing Systems for Didanosine against Virological Response, The Journal of Infectious Diseases, vol.198, issue.4, pp.470-480, 2008. ,
DOI : 10.1086/590156
Discrepant results in the interpretation of HIV-1 drug-resistance genotypic data among widely used algorithms, HIV Medicine, vol.28, issue.1, pp.72-78, 2003. ,
DOI : 10.1097/00042560-200111010-00007
HIV-1 Protease and Reverse Transcriptase Mutation Patterns Responsible for Discordances Between Genotypic Drug Resistance Interpretation Algorithms, JAIDS Journal of Acquired Immune Deficiency Syndromes, vol.33, issue.1, pp.8-14, 2003. ,
DOI : 10.1097/00126334-200305010-00002
URL : http://pdfs.journals.lww.com/jaids/2003/05010/HIV_1_Protease_and_Reverse_Transcriptase_Mutation.2.pdf?token=method|ExpireAbsolute;source|Journals;ttl|1505449411974;payload|mY8D3u1TCCsNvP5E421JYK6N6XICDamxByyYpaNzk7FKjTaa1Yz22MivkHZqjGP4kdS2v0J76WGAnHACH69s21Csk0OpQi3YbjEMdSoz2UhVybFqQxA7lKwSUlA502zQZr96TQRwhVlocEp/sJ586aVbcBFlltKNKo+tbuMfL73hiPqJliudqs17cHeLcLbV/CqjlP3IO0jGHlHQtJWcICDdAyGJMnpi6RlbEJaRheGeh5z5uvqz3FLHgPKVXJzdlBBIfmFCpOKzVKgx0Vr3t4m7xd1BG08CJTgyhbSzgAs=;hash|ez/gI5mNyFlHglKUR8DJ0Q==
Relative contributions of baseline patient characteristics and the choice of statistical methods to the variability of genotypic resistance scores: the example of didanosine, Journal of Antimicrobial Chemotherapy, vol.65, issue.4, pp.752-760, 2010. ,
DOI : 10.1093/jac/dkq034
Investigation of Super Learner Methodology on HIV-1 Small Sample: Application on Jaguar Trial Data, AIDS Research and Treatment, vol.10, issue.4, p.478467, 2012. ,
DOI : 10.1002/sim.1516
Genotypic predictors of human immunodeficiency virus type 1 drug resistance, Proceedings of the National Academy of Sciences, vol.58, issue.2, pp.17355-17360, 2006. ,
DOI : 10.1214/009053604000000067
Super Learning: An Application to the Prediction of HIV-1 Drug Resistance, Statistical Applications in Genetics and Molecular Biology, vol.6, issue.1, p.7, 2007. ,
DOI : 10.2202/1544-6115.1240
Can Linear Regression Modeling Help Clinicians in the Interpretation of Genotypic Resistance Data? An Application to Derive a Lopinavir-Score, PLoS ONE, vol.13, issue.3, p.25665, 2011. ,
DOI : 10.1371/journal.pone.0025665.s005
Diversity and complexity of HIV-1 drug resistance: A bioinformatics approach to predicting phenotype from genotype, Proceedings of the National Academy of Sciences, vol.16, issue.9, pp.8271-8276, 2002. ,
DOI : 10.1109/5254.972080
Non-parametric methods to predict HIV drug susceptibility phenotype from genotype, Statistics in Medicine, vol.7, issue.17, pp.2785-2798, 2003. ,
DOI : 10.1007/978-1-4899-4541-9
Predicting HIV drug resistance with neural networks, Bioinformatics, vol.19, issue.1, pp.98-107, 2003. ,
DOI : 10.1093/bioinformatics/19.1.98
Methods for Investigation of the Relationship between Drug???Susceptibility Phenotype and Human Immunodeficiency Virus Type 1 Genotype with Applications to AIDS Clinical Trials Group 333, The Journal of Infectious Diseases, vol.182, issue.1, pp.59-67, 2000. ,
DOI : 10.1086/315673
Simple linear model provides highly accurate genotypic predictions of HIV-1 drug resistance, Antivir Ther, vol.9, pp.343-352, 2004. ,
Improved prediction of response to antiretroviral combination therapy using the genetic barrier to drug resistance, Antivir Ther, vol.12, pp.169-178, 2007. ,
Development of a didanosine genotypic resistance interpretation system based on large derivation and validation datasets, AIDS, vol.24, issue.3, pp.365-371, 2010. ,
DOI : 10.1097/QAD.0b013e32833338ba
Mutations associated with virological response to darunavir/ritonavir in HIV-1-infected protease inhibitor-experienced patients, Journal of Antimicrobial Chemotherapy, vol.63, issue.3, pp.585-592, 2009. ,
DOI : 10.1093/jac/dkn544
Predictive Genotypic Algorithm for Virologic Response to Lopinavir-Ritonavir in Protease Inhibitor-Experienced Patients, Antimicrobial Agents and Chemotherapy, vol.51, issue.9, pp.3067-3074, 2007. ,
DOI : 10.1128/AAC.00388-07
The development of artificial neural networks to predict virological response to combination HIV therapy, Antivir Ther, vol.12, pp.15-24, 2007. ,
Clinically Relevant Genotype Interpretation of Resistance to Didanosine, Antimicrobial Agents and Chemotherapy, vol.49, issue.5, pp.1739-1744, 2005. ,
DOI : 10.1128/AAC.49.5.1739-1744.2005
Tipranavir-Ritonavir Genotypic Resistance Score in Protease Inhibitor-Experienced Patients, Antimicrobial Agents and Chemotherapy, vol.52, issue.9, pp.3237-3243, 2008. ,
DOI : 10.1128/AAC.00133-08
URL : http://aac.asm.org/content/52/9/3237.full.pdf
Clinically validated mutation scores for HIV-1 resistance to fosamprenavir/ritonavir, Journal of Antimicrobial Chemotherapy, vol.61, issue.6, pp.1362-1368, 2008. ,
DOI : 10.1093/jac/dkn127
URL : https://academic.oup.com/jac/article-pdf/61/6/1362/2228918/dkn127.pdf
Clinical validation of atazanavir/ritonavir genotypic resistance score in protease inhibitor-experienced patients, AIDS, vol.20, issue.1, pp.35-40, 2006. ,
DOI : 10.1097/01.aids.0000196179.11293.fc
Interpretation of genotypic HIV-1 resistance to darunavir and virological response: validation of available systems and of a new score, Antiviral Therapy, vol.16, issue.4, pp.489-497, 2011. ,
DOI : 10.3851/IMP1799
Investigation of expert rule bases, logistic regression, and non-linear machine learning techniques for predicting response to antiretroviral treatment, Antivir Ther, vol.14, pp.433-442, 2009. ,
Comparison of HIV-1 Genotypic Resistance Test Interpretation Systems in Predicting Virological Outcomes Over Time, PLoS ONE, vol.9, issue.7, p.11505, 2010. ,
DOI : 10.1371/journal.pone.0011505.t004
Categorical Data Analysis (Wiley Series in Probability and Statistics), 2002. ,
Statistical learning theory, 1998. ,