7 citations · 12 across the 16 of their papers we have counts for
5 papers · 1 filter
Enhancing Multimodal Medical Image Classification using Cross-Graph Modal Contrastive Learning
Jun-En Ding, Chien-Chin Hsu, Chi-Hsiang Chu +2
The classification of medical images is a pivotal aspect of disease diagnosis, often enhanced by deep learning techniques. However, traditional approaches typically focus on unimod…
MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models
Thao Minh Nguyen Phan, Cong-Tinh Dao, Chenwei Wu +7
Electronic health records (EHRs) are multimodal by nature, consisting of structured tabular features like lab tests and unstructured clinical notes. In real-life clinical practice,…
EHR-Based Mobile and Web Platform for Chronic Disease Risk Prediction Using Large Language Multimodal Models
Chun-Chieh Liao, Wei-Ting Kuo, I-Hsuan Hu +4
Traditional diagnosis of chronic diseases involves in-person consultations with physicians to identify the disease. However, there is a lack of research focused on predicting and d…
Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data
Jun-En Ding, Phan Nguyen Minh Thao, Wen-Chih Peng +10
Chronic diseases such as diabetes are the leading causes of morbidity and mortality worldwide. Numerous research studies have been attempted with various deep learning models in di…
Spatial Craving Patterns in Marijuana Users: Insights from fMRI Brain Connectivity Analysis with High-Order Graph Attention Neural Networks
Jun-En Ding, Shihao Yang, Anna Zilverstand +3
The excessive consumption of marijuana can induce substantial psychological and social consequences. In this investigation, we propose an elucidative framework termed high-order gr…