Signaling potential adverse drug reactions from administrative health databases

IEEE Transactions on Knowledge and Data Engineering

Volumn 22, Issue 6, 2010, Pages 839-853

  Jin, Huidong ^a   Chen, Jie ^a   He, Hongxing ^a   Kelman, Chris ^b   Mcaullay, Damien ^c   O'keefe, Christine M ^a  

^a CSIRO   (Australia)

^b The Australian National University   (Australia)

^c NATIONAL HEALTH AND MEDICAL RESEARCH COUNCIL   (Australia)

Author keywords

Association rules; Medicine and science; Mining methods and algorithms

Indexed keywords

ADVERSE DRUG REACTIONS; ALENDRONATE; ASSOCIATION MINING; CASE REPORTS; ESOPHAGITIS; HEALTH DATA; IMPROVED ALGORITHM; INTERESTINGNESS MEASURES; MINING ALGORITHMS; MINING METHODS AND ALGORITHMS; REAL WORLD DATA; REAL-WORLD APPLICATION; SIGNALING TECHNIQUES; TEMPORAL ASSOCIATION RULE;

ALGORITHMS; ASSOCIATION RULES; ASSOCIATIVE PROCESSING; HEALTH; KNOWLEDGE REPRESENTATION; MINING; SIGNALING;

REFRIGERATORS;

EID: 77951765455     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2009.212     Document Type: Article

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