Similarity-based machine learning framework for predicting safety signals of adverse drug–drug interactions

Similarity-based machine learning framework for predicting safety signals of adverse drug–drug interactions

Drug–drug interaction (DDI) is a major public health problem contributing to 30% of the unexpected clinical adverse drug events. Informatics-based studies for DDI signal detection have been evolving in the last decade. We aim at providing a boosted machine learning (ML) framework to predict novel DD...

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Bibliographic Details
Main Authors: Heba Ibrahim, Ahmed M. El Kerdawy, A. Abdo, A. Sharaf Eldin
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Machine learning
Drug-drug interaction
Prediction
Pharmacovigilance
Signal detection
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914821001830

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http://www.sciencedirect.com/science/article/pii/S2352914821001830

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