Text mining for precision medicine: Automating disease-mutation relationship extraction from biomedical literature

Journal of the American Medical Informatics Association

Volumn 23, Issue 4, 2016, Pages 766-772

  Singhal, Ayush ^a   Simmons, Michael ^a   Lu, Zhiyong ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

Automated extraction; Breast cancer; Disease mutation relationship; Machine learning; Precision medicine; Prostate cancer; Text mining

Indexed keywords

ARTICLE; BREAST CANCER; CLINICAL FEATURE; DATA BASE; DATA EXTRACTION; DATA MINING; HUMAN; MACHINE LEARNING; MEDLINE; PERSONALIZED MEDICINE; POINT MUTATION; PROSTATE CANCER; QUALITY CONTROL; VALIDITY; BIOLOGY; BREAST TUMOR; FEMALE; GENETICS; MALE; MUTATION; PROCEDURES; PROSTATE TUMOR;

BREAST NEOPLASMS; COMPUTATIONAL BIOLOGY; DATA MINING; DATABASES AS TOPIC; FEMALE; HUMANS; MACHINE LEARNING; MALE; MUTATION; PRECISION MEDICINE; PROSTATIC NEOPLASMS; PUBMED;

EID: 84981287982     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1093/jamia/ocw041     Document Type: Article

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