A semi-supervised approach to extract pharmacogenomics-specific drug-gene pairs from biomedical literature for personalized medicine

Journal of Biomedical Informatics

Volumn 46, Issue 4, 2013, Pages 585-593

  Xu, Rong ^a   Wang, QuanQiu ^b  

^a CASE WESTERN RESERVE UNIVERSITY   (United States)

^b ThinTek LLC   (United States)

Author keywords

Information extraction; Personalized medicine; Pharmacogenomics; Text mining

Indexed keywords

BIOMEDICAL LITERATURE; EXTRACTION ALGORITHMS; INTEGRATIVE ANALYSIS; PERSONALIZED MEDICINES; PHARMACOGENOMICS; RELATIONSHIP KNOWLEDGE; SEMI-SUPERVISED LEARNING; TEXT MINING;

ALGORITHMS; DATA MINING; GENES; INFORMATION RETRIEVAL; ITERATIVE METHODS; KNOWLEDGE BASED SYSTEMS; SUPERVISED LEARNING;

DRUG DOSAGE;

CAFFEINE; CALCIUM; CAPTOPRIL; CETUXIMAB; CISPLATIN; CYTOCHROME P450 1A2; CYTOCHROME P450 2C19; CYTOCHROME P450 2C9; CYTOCHROME P450 3A; DIPEPTIDYL CARBOXYPEPTIDASE; EPIDERMAL GROWTH FACTOR RECEPTOR; MIDAZOLAM; OMEPRAZOLE; WARFARIN;

ACCURACY; ALGORITHM; ARTICLE; BOOTSTRAPPING; DATA BASE; HUMAN; MEDLINE; PERSONALIZED MEDICINE; PHARMACOGENOMICS; PRIORITY JOURNAL;

INFORMATION EXTRACTION; PERSONALIZED MEDICINE; PHARMACOGENOMICS; TEXT MINING;

ALGORITHMS; DATA MINING; INDIVIDUALIZED MEDICINE; PHARMACOGENETICS;

EID: 84880331830     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2013.04.001     Document Type: Article

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