Computational models for the prediction of adverse cardiovascular drug reactions

Computational models for the prediction of adverse cardiovascular drug reactions

Abstract Background Predicting adverse drug reactions (ADRs) has become very important owing to the huge global health burden and failure of drugs. This indicates a need for prior prediction of probable ADRs in preclinical stages which can improve drug failures and reduce the time and cost of develo...

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Bibliographic Details
Main Authors: Salma Jamal, Waseem Ali, Priya Nagpal, Sonam Grover, Abhinav Grover
Format: Article
Language:English
Published: BMC 2019-05-01
Series:Journal of Translational Medicine
Subjects:
Adverse drug reactions
Machine learning
Random forest
Sequential minimization optimization
Feature selection
Online Access:http://link.springer.com/article/10.1186/s12967-019-1918-z

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http://link.springer.com/article/10.1186/s12967-019-1918-z

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