Ya-Han Hu, Prof.

☎:03-4227151 ext. 66560


Education Background

國立中央大學 資訊管理系 博士

Research Field

Data Mining

Electronic Medical Records

Text Mining

Business Intelligence

Research Project

1. 基於文化脈絡發展失智症照護之人工智慧化輔助評估與處遇系統(1/4) AI生醫研究計畫(2019)

2. 應用電子病歷文字探勘以預測中風後果及分類中風亞型(2019)

3. 診斷重度憂鬱症個案後續更改診斷為雙極性疾患的預測因子分析(2019)

4. 結合特徵選取與樣本選取技術於線上評論之情感分析研究(2018)

5. 犯罪防治巨量資料應用研究推動之先期規劃計畫(2018)

Periodical Article

1. Ling-Chien Hung, Sheng-Feng Sung, Ya-Han Hu*, A machine learning approach to predicting readmission or mortality in patients hospitalized for stroke or transient ischemic attack, Applied Science, 2020, 10(18), 6337. (SCI)

2. Sheng-Feng Sung, Cheng-Yang Hsieh, Ya-Han Hu*, Two decades of research using Taiwan’s National Health Insurance claims data: A bibliometric and text mining analysis on PubMed, Journal of Medical Internet Research, 2020, 22(6): e18457. (SCI)

3. Chih-Fong Tsai, Kuanchin Chen, Ya-Han Hu*, Wei-Kai Chen, Improving Text Summarization of Online Hotel Reviews with Review Helpfulness and Sentiment, Tourism management, 2020, 80, 104122. (SSCI; IF=7.432)

4. Jiann-Der Lee, Yen-Chu Huang, Meng Lee, Tsong-Hai Lee, Ya-Wen Kuo, Ya-Han Hu*, and Bruce Ovbiagele, Determinants of Use of Long-term Continuous Electrocardiographic Monitoring for Acute Ischemic Stroke Patients without Atrial Fibrillation at Baseline, Current Neurovascular Research, 2020, 17(3), 224-231. (SCI)

5. Sheng-Feng Sung, Chia-Yi Lin, and Ya-Han Hu*, EMR-based phenotyping of ischemic stroke using supervised machine learning and text mining techniques, IEEE Journal of Biomedical and Health Informatics, 2020, 24(10), 2922-2931. (SCI)

6. Ya-Han Hu, Kuanchin Chen, I-Chiu Chang, Cheng-Che Shen, Predictors for switch from unipolar major depressive disorder to bipolar disorder: A nationwide population-based retrospective cohort study, JMIR Medical Informatics, 8(4), e14278, 2020. (SCI)

7. Ya-Han Hu, Yi-Lien Lee, Ming-Feng Kang, Pei-Ju Lee, Constructing Inpatient Pressure Injury Prediction Models Using Machine Learning Techniques, CIN: Computers, Informatics, Nursing, 2020, 38(8), 415-423. (SSCI)

8. Jiann-Der Lee, Tsong-Hai Lee, Yen-Chu Huang, Meng Lee, Ya-Wen Kuo, Ya-Chi Huang, and Ya-Han Hu*, Prediction Model of Early Return to Hospital after Discharge Following Acute Ischemic Stroke, Current Neurovascular Research, 2019, 16(4), 348-357. (SCI)

9. Jiann-Der Lee, Ya-Han Hu, Meng Lee, Yen-Chu Huang, Ya-Wen Kuo, Tsong-Hai Lee, High Risk of One-year Stroke Recurrence in Patients with Younger Age and Prior History of Ischemic Stroke, Current Neurovascular Research, 2019, 16(3), 250-257. (SCI)

10. Cheng-Che Shen, Li-Yu Hu, Shih-Jen Tsai, Albert C. Yang, Ya-Han Hu*, Risk Stratification for the Early Diagnosis of Borderline Personality Disorder Using Psychiatric Comorbidities, Early Intervention in Psychiatry, 12 (4) (2018) 605-612. (SSCI)

11. Sheng-Feng Sung, Kuanchin Chen, Darren Philbert Wu, Ling-Chien Hung, Yu-Hsiang Su, Ya-Han Hu*, Applying natural language processing techniques to develop a task-specific EMR interface for timely stroke thrombolysis: A feasibility study, International Journal of Medical Informatics, 112 (2018) 149-157. (SCI)