Predicting the risk of ischemic stroke in patients with atrial fibrillation using heterogeneous drug–protein–disease network-based deep learning

Predicting the risk of ischemic stroke in patients with atrial fibrillation using heterogeneous drug–protein–disease network-based deep learning

Current risk assessment models for predicting ischemic stroke (IS) in patients with atrial fibrillation (AF) often fail to account for the effects of medications and the complex interactions between drugs, proteins, and diseases. We developed an interpretable deep learning model, the AF-Biological-I...

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Bibliographic Details
Main Authors: Zhiheng Lyu, Jiannan Yang, Zhongzhi Xu, Weilan Wang, Weibin Cheng, Kwok-Leung Tsui, Qingpeng Zhang
Format: Article
Language:English
Published: AIP Publishing LLC 2025-06-01
Series:APL Bioengineering
Online Access:http://dx.doi.org/10.1063/5.0242570
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