Statistical Learning For Predicting Probable Drug-drug Interactions Using Machine Learning Classifiers

Abstract

Drug-drug Interaction (DDI) Is A Change In The Effect Of A Drug When Patient Takes Another Drug. Characterizing DDIs Is Extremely Important To Avoid Potential Adverse Drug Reactions. We Represent DDIs As A Complex Network In Which Nodes Refer To Drugs And

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