Data mining to generate adverse drug events detection rules

IEEE Transactions on Information Technology in Biomedicine

Volumn 15, Issue 6, 2011, Pages 823-830

  Chazard, Emmanuel ^a   Ficheur, Grégoire ^a   Bernonville, Stéphanie ^a   Luyckx, Michel ^a   Beuscart, Régis ^a  

^a UNIV LILLE   (France)

Author keywords

Adverse drug events (ADEs); data mining; decision trees; electronic health records; patient safety

Indexed keywords

DECISION TREES; DIAGNOSIS; FORESTRY; HOSPITALS; TREES (MATHEMATICS);

ADVERSE DRUG EVENTS; COMMITTEE OF EXPERTS; COMMON DATA MODEL; DRUG ADMINISTRATION; ELECTRONIC HEALTH RECORD; PATIENT SAFETY; PUBLIC HEALTH ISSUES; RULE INDUCTION METHODS;

DATA MINING;

BULGARIAN; DANISH; DATA; DIAGNOSIS; DISEASES; FORESTRY; FRENCH; HOSPITALS;

DRUG;

ARTICLE; COMPUTER PROGRAM; DATA MINING; DECISION SUPPORT SYSTEM; DECISION TREE; DRUG SURVEILLANCE PROGRAM; DRUG TOXICITY; ELECTRONIC MEDICAL RECORD; HUMAN; METHODOLOGY; PATIENT SAFETY;

ADVERSE DRUG REACTION REPORTING SYSTEMS; DATA MINING; DECISION SUPPORT SYSTEMS, CLINICAL; DECISION TREES; DRUG TOXICITY; ELECTRONIC HEALTH RECORDS; HUMANS; PATIENT SAFETY; PHARMACEUTICAL PREPARATIONS; SOFTWARE;

EID: 82155163749     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2011.2165727     Document Type: Article

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