MultiGML: Multimodal graph machine learning for prediction of adverse drug events

MultiGML: Multimodal graph machine learning for prediction of adverse drug events

Adverse drug events constitute a major challenge for the success of clinical trials. Several computational strategies have been suggested to estimate the risk of adverse drug events in preclinical drug development. While these approaches have demonstrated high utility in practice, they are at the sa...

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Bibliographic Details
Main Authors: Sophia Krix, Lauren Nicole DeLong, Sumit Madan, Daniel Domingo-Fernández, Ashar Ahmad, Sheraz Gul, Andrea Zaliani, Holger Fröhlich
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Heliyon
Subjects:
Machine learning
Knowledge graph
Adverse event
Graph neural network
Graph attention network
Graph convolutional network
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023066495

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http://www.sciencedirect.com/science/article/pii/S2405844023066495

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