Article

A Machine Learning Framework for Predicting Drug-drug Interactions

2021-05-11

Abstract excerpt

Understanding drug-drug interaction is an essential step to reduce the risk of adverse drug events before clinical drug co-prescription. Existing methods commonly integrate multiple heterogeneous data sources to increase model performance but result in a high model complexity. To elucidate the molecular mechanisms behind drug-drug interactions and reserve rational biological interpretability is a major concern in...

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Literature Corpus work: f072bdee-ad0a-5053-88d1-5f1846297faa
DOI: 10.21203/rs.3.rs-503867/v1

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