Machine learning-based prediction of drug-drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties

Drug-drug interactions (DDIs) are an important consideration in both drug development and clinical application, especially for co-administered medications. While it is necessary to identify all possible DDIs during clinical trials, DDIs are frequently reported after the drugs are approved for clinic...

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Veröffentlicht in:	Journal of the American Medical Informatics Association : JAMIA 2014-10, Vol.21 (e2), p.e278-e286
Hauptverfasser:	Cheng, Feixiong, Zhao, Zhongming
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Bayes Theorem Decision Trees Drug Interactions Humans Logistic Models Models, Theoretical Molecular Structure Pharmaceutical Preparations - chemistry Pharmacokinetics Research and Applications ROC Curve Support Vector Machine
Online-Zugang:	Volltext
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