Combining PubMed knowledge and EHR data to develop a weighted bayesian network for pancreatic cancer prediction

Journal of Biomedical Informatics

Volumn 44, Issue 5, 2011, Pages 859-868

  Zhao, Di ^a   Weng, Chunhua ^a  

^a Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

Bayesian method; Electronic Health Records; Pancreatic neoplasms; Text mining

Indexed keywords

ACCURACY IMPROVEMENT; BAYESIAN METHODS; BAYESIAN NETWORK INFERENCE; CASE-CONTROL; DATA SETS; ELECTRONIC HEALTH RECORD; K-NEAREST NEIGHBORS; PANCREATIC CANCERS; PANCREATIC NEOPLASMS; PRIOR PROBABILITY; RISK FACTORS; TEXT MINING;

BAYESIAN NETWORKS; DISEASES; FORECASTING; RECORDS MANAGEMENT; TEXT PROCESSING;

HEALTH RISKS;

ARTICLE; BAYES THEOREM; BAYESIAN NETWORK INFERENCE; BLOOD ANALYSIS; CANCER RISK; COMPUTER PROGRAM; DEMOGRAPHY; DIGESTIVE SYSTEM EXAMINATION; DISEASE ASSOCIATION; ELECTRONIC MEDICAL RECORD; GALLBLADDER TEST; HUMAN; LIFESTYLE; LIVER FUNCTION TEST; MEDLINE; PANCREAS CANCER; PANCREAS FUNCTION TEST; PRIORITY JOURNAL; PROFESSIONAL KNOWLEDGE; SUPPORT VECTOR MACHINE;

BAYES THEOREM; DATABASES, FACTUAL; ELECTRONIC HEALTH RECORDS; HUMANS; PANCREATIC NEOPLASMS; PUBMED; RISK FACTORS;

EID: 80052891202     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2011.05.004     Document Type: Article

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