Mining unexpected associations for signalling potential adverse drug reactions from administrative health databases

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3918 LNAI, Issue , 2006, Pages 867-876

  Jin, Huidong ^a   Chen, Jie ^a   Kelman, Chris ^b   He, Hongxing ^a   McAullay, Damien ^a   O'Keefe, Christine M ^a  

^a CSIRO   (Australia)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; DATA ACQUISITION; DATABASE SYSTEMS; HEALTH CARE; KNOWLEDGE REPRESENTATION;

ADVERSE DRUG REACTION (ADR); HEALTH DATABASES; PATTERNS CHARACTERISTIC; UNEXPECTED TEMPORAL ASSOCIATION RULES (UTAR);

DATA MINING;

EID: 33745797724     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11731139_101     Document Type: Conference Paper

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