Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2006-10-23
pubmed:abstractText
Interferon taken alone or in combination with ribavirin can be used for the treatment of persons with chronic hepatitis C. It is highly desirable, both clinically and economically, to establish tools to distinguish responders from nonresponders and to predict possible outcomes of the treatments. In this work, our goal is to develop a prediction model resulting from the analysis of chronic hepatitis C patients' single nucleotide polymorphisms, viral genotype, viral load, age and gender, to predict the responsiveness of interferon combination treatment.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
1462-2416
pubmed:author
pubmed:issnType
Print
pubmed:volume
7
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1017-24
pubmed:meshHeading
pubmed-meshheading:17054412-Aging, pubmed-meshheading:17054412-Algorithms, pubmed-meshheading:17054412-Antiviral Agents, pubmed-meshheading:17054412-Drug Therapy, Combination, pubmed-meshheading:17054412-Forecasting, pubmed-meshheading:17054412-Genotype, pubmed-meshheading:17054412-Hepacivirus, pubmed-meshheading:17054412-Hepatitis C, Chronic, pubmed-meshheading:17054412-Humans, pubmed-meshheading:17054412-Immunologic Factors, pubmed-meshheading:17054412-Interferons, pubmed-meshheading:17054412-Neural Networks (Computer), pubmed-meshheading:17054412-Polymorphism, Single Nucleotide, pubmed-meshheading:17054412-Reproducibility of Results, pubmed-meshheading:17054412-Ribavirin, pubmed-meshheading:17054412-Sex Characteristics, pubmed-meshheading:17054412-Signal Transduction, pubmed-meshheading:17054412-Viral Load
pubmed:year
2006
pubmed:articleTitle
An artificial neural network approach to the drug efficacy of interferon treatments.
pubmed:affiliation
Vita Genomics, Inc., 7 Fl., No. 6, Sec. 1, Jung-Shing Road, Wugu Shiang, Taipei, Taiwan. eugene.lin@vitagenomics.com
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't