3 papers
q-bio.QM2024
Predicting the Risk of Ischemic Stroke in Patients with Atrial Fibrillation using Heterogeneous Drug-protein-disease Network-based Deep Learning
Zhiheng Lyu, Jiannan Yang, Zhongzhi Xu +5
We develop a deep learning model, ABioSPATH, to predict the one-year risk of ischemic stroke (IS) in atrial fibrillation (AF) patients. The model integrates drug-protein-disease pa…
cs.LG2022
MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis
Haodi Zhang, Chenyu Xu, Peirou Liang +4
Recent studies show that deep learning models achieve good performance on medical imaging tasks such as diagnosis prediction. Among the models, multimodality has been an emerging t…
cs.AI2019
Knowledge-Enhanced Attentive Learning for Answer Selection in Community Question Answering Systems
Fengshi Jing, Qingpeng Zhang
In the community question answering (CQA) system, the answer selection task aims to identify the best answer for a specific question, and thus is playing a key role in enhancing th…