The first step in the development of text mining technology for cancer risk assessment: Identifying and organizing scientific evidence in risk assessment literature

BMC Bioinformatics

Volumn 10, Issue , 2009, Pages 303-

  Korhonen, Anna ^a   Silins, Ilona ^b   Sun, Lin ^a   Stenius, Ulla ^b  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b KAROLINSKA INSTITUTE   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACTING; DATA MINING; DISEASES; NATURAL LANGUAGE PROCESSING SYSTEMS; PETROLEUM RESERVOIR EVALUATION; TAXONOMIES;

AUTOMATIC CLASSIFICATION; BIOMEDICAL LITERATURE; BIOMEDICAL TEXT MININGS; CANCER RISK ASSESSMENTS; EXPERT ANNOTATIONS; MACHINE LEARNING APPROACHES; MULTIPLE DIMENSIONS; SCIENTIFIC EVIDENCE;

RISK ASSESSMENT;

1,3 BUTADIENE; BENZO[A]PYRENE; CHLOROFORM; DIETHYLNITROSAMINE; DIETHYLSTILBESTROL; FUMONISIN B1; PHENOBARBITAL; STYRENE;

ARTICLE; AUTOMATION; BIOINFORMATICS; BREAST TUMOR; CANCER RISK; DATA MINING; ESOPHAGUS CANCER; GENE CONTROL; GENE MUTATION; GENOTOXICITY; HUMAN; INFORMATION PROCESSING; INFORMATION RETRIEVAL; KIDNEY TUMOR; LEUKEMIA; LIVER TUMOR; LUNG TUMOR; MACHINE LEARNING; MEDLINE; NONHUMAN; PROCESS DEVELOPMENT; RISK ASSESSMENT; SKIN TUMOR; VAGINA TUMOR;

EID: 70449366673     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-303     Document Type: Article

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