Comparing a knowledge-driven approach to a supervised machine learning approach in large-scale extraction of drug-side effect relationships from free-text biomedical literature

BMC Bioinformatics

Volumn 16, Issue 5, 2015, Pages

  Xu, Rong ^a   Wang, QuanQiu ^b  

^a CASE WESTERN RESERVE UNIVERSITY   (United States)

^b ThinTek LLC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACTING; ARTIFICIAL INTELLIGENCE; CHEMICAL ANALYSIS; KNOWLEDGE BASED SYSTEMS; SUPERVISED LEARNING;

BIOMEDICAL LITERATURE; DRUG REPOSITIONING; DRUG SIDE EFFECTS; INTEGRATIVE ANALYSIS; MACHINE LEARNING APPROACHES; RELATIONSHIP KNOWLEDGE; SUPERVISED MACHINE LEARNING; SYSTEMS APPROACH;

LEARNING SYSTEMS;

DRUG;

ADVERSE DRUG REACTION; ARTIFICIAL INTELLIGENCE; BIOLOGICAL ONTOLOGY; CLASSIFICATION; COMPARATIVE STUDY; DATA MINING; DRUG DATABASE; DRUG DEVELOPMENT; DRUG REPOSITIONING; HUMAN; KNOWLEDGE BASE; MEDLINE; PHENOTYPE; PROCEDURES; PUBLICATION; SEARCH ENGINE;

ARTIFICIAL INTELLIGENCE; BIOLOGICAL ONTOLOGIES; DATA MINING; DATABASES, PHARMACEUTICAL; DRUG DISCOVERY; DRUG REPOSITIONING; DRUG-RELATED SIDE EFFECTS AND ADVERSE REACTIONS; HUMANS; KNOWLEDGE BASES; MEDLINE; PERIODICALS AS TOPIC; PHARMACEUTICAL PREPARATIONS; PHENOTYPE; SEARCH ENGINE;

EID: 84961529039     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-16-S5-S6     Document Type: Article

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