Precision Adverse Drug Reactions Prediction with Heterogeneous Graph Neural Network

Precision Adverse Drug Reactions Prediction with Heterogeneous Graph Neural Network

Abstract Accurate prediction of Adverse Drug Reactions (ADRs) at the patient level is essential for ensuring patient safety and optimizing healthcare outcomes. Traditional machine learning‐based methods primarily focus on predicting potential ADRs for drugs, but they often fall short of capturing th...

Full description

Saved in:
Bibliographic Details
Main Authors: Yang Gao, Xiang Zhang, Zhongquan Sun, Payal Chandak, Jiajun Bu, Haishuai Wang
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Advanced Science
Subjects:
adverse drug reactions
FDA adverse event reporting system (FAERS)
graph neural network
precision medicine
Online Access:https://doi.org/10.1002/advs.202404671
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items