Predicting adequacy of vancomycin regimens: A learning-based classification approach to improving clinical decision making
Abstract
Clinicians' drug regimen decision making is critical, particularly when involving high-alert medications. In this study, we use decision-tree induction C4.5 and a backpropagation neural network to construct decision support systems for predicting the regimen adequacy of vancomycin, a glycopeptide antimicrobial antibiotic effective for Gram-positive bacterial infections. We comparatively evaluate the respective systems using a total of 987...
Paper Details
Title
Predicting adequacy of vancomycin regimens: A learning-based classification approach to improving clinical decision making
Published Date
Aug 1, 2007
Journal
Volume
43
Issue
4
Pages
1226 - 1241
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