Min-Hwei College of Health Care Management

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 et al.

2018 · 41 Zit.

Natural Language Processing Enhances Prediction of Functional Outcome After Acute Ischemic Stroke

Sheng‐Feng Sung, Chih‐Hao Chen, Ru‐Chiou Pan et al.

2021 · 35 Zit.

Early Prediction of Functional Outcomes After Acute Ischemic Stroke Using Unstructured Clinical Text: Retrospective Cohort Study

Sheng‐Feng Sung, Cheng‐Yang Hsieh, Ya‐Han Hu

2022 · 16 Zit.

Employing feature engineering strategies to improve the performance of machine learning algorithms on echocardiogram dataset

Huang‐Nan Huang, Hongming Chen, Wei-Wen Lin et al.

2023 · 11 Zit.

Clinical narratives as a predictor for prognosticating functional outcomes after intracerebral hemorrhage

Ling-Chien Hung, Yingying Su, Jui‐Ming Sun et al.

2023 · 5 Zit.

Artificial intelligence‐driven surgical innovation: A catalyst for medical equity

Si‐Wai Vivian Chiu, Chung‐Feng Liu, Kuang‐Ming Liao et al.

2024 · 0 Zit.