Sheng-Feng Sung

According to our database, Sheng-Feng Sung authored at least 7 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

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

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

2021

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

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

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

2018

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

2017

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