Predicting drug characteristics using biomedical text embedding

Predicting drug characteristics using biomedical text embedding

Abstract Background Drug–drug interactions (DDIs) are preventable causes of medical injuries and often result in doctor and emergency room visits. Previous research demonstrates the effectiveness of using matrix completion approaches based on known drug interactions to predict unknown Drug–drug inte...

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Bibliographic Details
Main Authors: Guy Shtar, Asnat Greenstein-Messica, Eyal Mazuz, Lior Rokach, Bracha Shapira
Format: Article
Language:English
Published: BMC 2022-12-01
Series:BMC Bioinformatics
Subjects:
Drug interactions
Text mining
Machine learning
Online Access:https://doi.org/10.1186/s12859-022-05083-1

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