Combining automatic table classification and relationship extraction in extracting anticancer drug-side effect pairs from full-text articles

Journal of Biomedical Informatics

Volumn 53, Issue , 2015, Pages 128-135

  Xu, Rong ^a   Wang, QuanQiu ^b  

^a CASE WESTERN RESERVE UNIVERSITY   (United States)

^b ThinTek LLC ^*  (United States)

Author keywords

Cancer drug side effect; Drug discovery; Drug repositioning; Drug toxicity prediction; Information extraction; Text mining

Indexed keywords

CLASSIFICATION (OF INFORMATION); DISEASES; DRUG INTERACTIONS; GENES; INFORMATION RETRIEVAL; KNOWLEDGE BASED SYSTEMS; METABOLISM; TOXICITY;

CANCER DRUG; DRUG DISCOVERY; DRUG REPOSITIONING; RELATIONSHIP EXTRACTION; RELATIONSHIP KNOWLEDGE; STATISTICAL CLASSIFIER; TABLE CLASSIFICATIONS; TOXICITY PREDICTIONS;

TEXT MINING;

ANTINEOPLASTIC AGENT;

ACCURACY; ADVERSE DRUG REACTION; ARTICLE; AUTOMATION; CLASSIFIER; COMPARATIVE STUDY; DRUG CLASSIFICATION; DRUG DEVELOPMENT; DRUG LABELING; DRUG REPOSITIONING; FOOD AND DRUG ADMINISTRATION; FULL TEXT DATABASE; GENE TARGETING; KNOWLEDGE; MEDICAL LITERATURE; MULTICENTER STUDY (TOPIC); PHASE 2 CLINICAL TRIAL (TOPIC); PRIORITY JOURNAL; ALGORITHM; BIOLOGY; CLINICAL TRIAL (TOPIC); DATA MINING; HUMAN; INFORMATION PROCESSING; KNOWLEDGE BASE; MEDLINE; NEOPLASMS; PILOT STUDY; PROCEDURES; UNITED STATES;

ALGORITHMS; ANTINEOPLASTIC AGENTS; CLINICAL TRIALS AS TOPIC; COMPUTATIONAL BIOLOGY; DATA COLLECTION; DATA MINING; DRUG DISCOVERY; DRUG LABELING; DRUG REPOSITIONING; DRUG-RELATED SIDE EFFECTS AND ADVERSE REACTIONS; HUMANS; KNOWLEDGE BASES; MEDLINE; NEOPLASMS; PILOT PROJECTS; UNITED STATES; UNITED STATES FOOD AND DRUG ADMINISTRATION;

EID: 84924491235     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2014.10.002     Document Type: Article

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