Managing Clinical Use of High-Alert Drugs: A Supervised Learning Approach to Pharmacokinetic Data Analysis

Drug-related problems, particularly those that result from sub- or overtherapeutic doses of high-alert medications, have become a growing concern in clinical medicine. In this paper, we use a model-tree-based regression technique (namely, M5) and support vector machine (SVM) for regression to develo...

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Veröffentlicht in:	IEEE transactions on systems, man and cybernetics. Part A, Systems and humans man and cybernetics. Part A, Systems and humans, 2007-07, Vol.37 (4), p.481-492
Hauptverfasser:	Hu, P.J.-H., Tsang-Hsiang Cheng, Chin-Ping Wei, Chun-Hui Yu, Chan, A.L.F., Hue-Yu Wang
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Bagging Data analysis decision support in health care Drugs Learning management of clinical use of vancomycin Mathematical models Medical services model-tree-based regression Patients pharmacokinetic data mining Power system modeling Predictive models Regression Studies Supervised learning support vector machine (SVM) Support vector machines Technology management Vancomycin
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