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BMC Medical Informatics and Decision Making|February 9, 2021
Predicting COVID-19 disease progression and patient outcomes based on temporal deep learningChenxi Sun, Shenda Hong, Moxian Song, et al.Computers in Biology and Medicine|July 14, 2020
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic reviewShenda Hong, Yuxi Zhou, Junyuan Shang, et al.Frontiers in Physiology|January 31, 2022
Practical Lessons on 12-Lead ECG Classification: Meta-Analysis of Methods From PhysioNet/Computing in Cardiology Challenge 2020Shenda Hong, Wenrui Zhang, Chenxi Sun, et al.Health Data Science|March 15, 2024
Predicting Risk of Mortality in Pediatric ICU Based on Ensemble Step-Wise Feature SelectionShenda Hong, Xinlin Hou, Jin Jing, et al.IEEE Transactions on Knowledge and Data Engineering|January 30, 2023
CHEER: Rich Model Helps Poor Model via Knowledge InfusionCao Xiao, Trong Nghia Hoang, Shenda Hong, et al.Computers in Biology and Medicine|March 19, 2023
Self-sovereign identity empowered non-fungible patient tokenization for health information exchange using blockchain technologyYan Zhuang, Chi-Ren Shyu, Shenda Hong, et al.Physiological Measurement|July 19, 2022
A systematic review of deep learning methods for modeling electrocardiograms during sleepChenxi Sun, Shenda Hong, Jingyu Wang, et al.Health Data Science|May 6, 2026
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series DataChenxi Sun, Moxian Song, Derun Cai, et al.Applied Intelligence (Dordrecht, Netherlands)|February 23, 2023
Adaptive model training strategy for continuous classification of time seriesChenxi Sun, Hongyan Li, Moxian Song, et al.Patterns (New York, N.Y.)|March 6, 2023
Continuous diagnosis and prognosis by controlling the update process of deep neural networksChenxi Sun, Hongyan Li, Moxian Song, et al.Pageof 7