A support vector machine approach to assess drug efficacy of interferon-α and ribavirin combination therapy

Molecular Diagnosis and Therapy

Volumn 12, Issue 4, 2008, Pages 219-223

  Lin, Eugene ^a   Hwang, Yuchi ^a  

^a VITA GENOMICS INC   (Taiwan)

Author keywords

Genetic polymorphism; Genotyping; Hepatitis C; Interferon alpha, general; Modelling; Ribavirin, general

Indexed keywords

ALPHA INTERFERON; RIBAVIRIN; ANTIVIRUS AGENT; BIOLOGICAL MARKER;

ARTICLE; CLASSIFICATION ALGORITHM; CLINICAL ASSESSMENT; DRUG EFFICACY; GENETIC ALGORITHM; GENOTYPE; HEPATITIS C; HEPATITIS C VIRUS; HUMAN; LEARNING ALGORITHM; MAJOR CLINICAL STUDY; NONLINEAR SYSTEM; PRIORITY JOURNAL; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL SIGNIFICANCE; SUPPORT VECTOR MACHINE; TREATMENT RESPONSE; VIRUS GENOME; VIRUS TYPING; ALGORITHM; ARTIFICIAL NEURAL NETWORK; DRUG COMBINATION; GENETICS; VIRUS LOAD;

HEPATITIS C VIRUS;

ALGORITHMS; ANTIVIRAL AGENTS; BIOLOGICAL MARKERS; DRUG THERAPY, COMBINATION; GENOTYPE; HEPACIVIRUS; HEPATITIS C, CHRONIC; HUMANS; INTERFERON-ALPHA; NEURAL NETWORKS (COMPUTER); POLYMORPHISM, SINGLE NUCLEOTIDE; RIBAVIRIN; VIRAL LOAD;

EID: 53749088871     PISSN: 11771062     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF03256287     Document Type: Article

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