Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiers

Artificial Intelligence in Medicine

Volumn 57, Issue 3, 2013, Pages 219-229

  Borchani, Hanen ^a   Bielza, Concha ^a   Toro, Carlos ^b   Larrañaga, Pedro ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^b HOSPITAL UNIVERSITARIO LA PAZ   (Spain)

Author keywords

Human immunodeficiency virus; Markov blanket; Multi dimensional Bayesian network classifiers; Protease inhibitors; Reverse transcriptase inhibitors

Indexed keywords

BAYESIAN NETWORK CLASSIFIERS; HUMAN IMMUNODEFICIENCY VIRUS; MARKOV BLANKETS; PROTEASE INHIBITOR; REVERSE TRANSCRIPTASES;

BAYESIAN NETWORKS; CLASSIFICATION (OF INFORMATION); DISEASES; FORECASTING; LEARNING ALGORITHMS; VIRUSES;

ENZYME INHIBITION;

ABACAVIR; ATAZANAVIR; DARUNAVIR; DELAVIRDINE; DIDANOSINE; EFAVIRENZ; EMTRICITABINE; FOSAMPRENAVIR; INDINAVIR; LAMIVUDINE; LOPINAVIR; NELFINAVIR; NEVIRAPINE; NONNUCLEOSIDE REVERSE TRANSCRIPTASE INHIBITOR; PROTEINASE INHIBITOR; RNA DIRECTED DNA POLYMERASE INHIBITOR; SAQUINAVIR; STAVUDINE; TENOFOVIR; TIPRANAVIR; ZIDOVUDINE;

ACCURACY; ARTICLE; DRUG DETERMINATION; EXPERIMENTAL STUDY; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS 1; LEARNING ALGORITHM; MAJOR CLINICAL STUDY; MULTI DIMENSIONAL BAYESIAN NETWORK CLASSIFIER; MUTATION; PRIORITY JOURNAL; VIRUS INHIBITION;

ANTI-HIV AGENTS; BAYES THEOREM; HIV; MARKOV CHAINS;

EID: 84876707612     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2012.12.005     Document Type: Article

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