BICEPP: An example-based statistical text mining method for predicting the binary characteristics of drugs

BMC Bioinformatics

Volumn 12, Issue , 2011, Pages

  Lin, Frank P Y ^a   Anthony, Stephen ^a   Polasek, Thomas M ^b   Tsafnat, Guy ^a   Doogue, Matthew P ^b,c  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b FLINDERS UNIVERSITY   (Australia)

^c FLINDERS MEDICAL CENTRE   (Australia)

Author keywords

Adverse drug reaction reporting systems; Cytochromes P450; Data mining artificial intelligence; Drug toxicity

Indexed keywords

BIOMEDICAL PROPERTIES; CLINICAL CHARACTERISTICS; CYTOCHROME P450 ENZYMES; CYTOCHROMES P450; EVALUATION EXPERIMENTS; FREQUENCY-BASED MEASURES; RECEIVER OPERATING CHARACTERISTIC CURVES; REPORTING SYSTEMS;

ARTIFICIAL INTELLIGENCE; DATA MINING; LEARNING ALGORITHMS;

DRUG PRODUCTS;

DRUG;

ARTICLE; DATA MINING; DRUG INTERACTION; DRUG THERAPY; FACTUAL DATABASE; HUMAN; PHARMACOKINETICS;

DATA MINING; DATABASES, FACTUAL; DRUG INTERACTIONS; HUMANS; PHARMACEUTICAL PREPARATIONS; PHARMACOKINETICS; THERAPEUTIC USES;

EID: 79954616137     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-12-112     Document Type: Article

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