Predicting return visits to the emergency department for pediatric patients: Applying supervised learning techniques to the Taiwan National Health Insurance Research Database. - Ya-Han Hu; Chun-Tien Tai; Solomon Chih-Cheng Chen; Hai-Wei Lee; Sheng-Feng Sung (Comput. Methods Programs Biomed., 2017)

Applying natural language processing techniques to develop a task-specific EMR interface for timely stroke thrombolysis: A feasibility study. - Sheng-Feng Sung; Kuanchin Chen; Darren Philbert Wu; Ling-Chien Hung; Yu-Hsiang Su; Ya-Han Hu (Int. J. Medical Informatics, 2018)

Medication Use and the Risk of Newly Diagnosed Diabetes in Patients with Epilepsy: A Data Mining Application on a Healthcare Database. - Sheng-Feng Sung; Pei-Ju Lee; Cheng-Yang Hsieh; Wan-Lun Zheng (J. Organ. End User Comput., 2020)

EMR-Based Phenotyping of Ischemic Stroke Using Supervised Machine Learning and Text Mining Techniques. - Sheng-Feng Sung; Chia-Yi Lin; Ya-Han Hu (IEEE J. Biomed. Health Informatics, 2020)

Developing a stroke alert trigger for clinical decision support at emergency triage using machine learning. - Sheng-Feng Sung; Ling-Chien Hung; Ya-Han Hu (Int. J. Medical Informatics, 2021)

Movement Disorder Evaluation of Parkinson's Disease Severity Based on Deep Neural Network Models. - Yung-Chu Hsu; Yu-Hsiang Su; Bo-Ren Cheng; Sheng-Feng Sung; Jia-Xin Liu; Hsiu-Chun Hsu; Pao-Ann Hsiung (IEEE Access, 2024)

Machine learning-based survival analysis approaches for predicting the risk of pneumonia post-stroke discharge. - Chang-Ching Lee; Sheng-You Su; Sheng-Feng Sung (Int. J. Medical Informatics, 2024)