Predicting adequacy of vancomycin regimens: A learning-based classification approach to improving clinical decision making

Decision Support Systems

Volumn 43, Issue 4, 2007, Pages 1226-1241

  Hu, Paul Jen Hwa ^a   Wei, Chih Ping ^b   Cheng, Tsang Hsiang ^c   Chen, Jian Xun ^d  

^a UNIVERSITY OF UTAH   (United States)

^b NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^c SOUTHERN TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^d NATIONAL SUN YAT SEN UNIVERSITY   (Taiwan)

Author keywords

Artificial neural network; Bagging; Decision support in medicine; Decision tree induction; Management of clinical use of vancomycin; Pharmacokinetic data mining; Regimen adequacy prediction

Indexed keywords

BACKPROPAGATION ALGORITHMS; CLASSIFICATION (OF INFORMATION); DECISION MAKING; DECISION SUPPORT SYSTEMS; LEARNING ALGORITHMS; NEURAL NETWORKS;

DECISION TREE INDUCTION; PHARMACOKINETIC DATA MINING; REGIMEN ADEQUACY PREDICTION;

DATA MINING;

EID: 34547684249     PISSN: 01679236     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dss.2006.02.003     Document Type: Article

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