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College of Management
Discipline of Business Administration
Discipline of Organization Management
Discipline of International Business
Discipline of Marketing
Discipline of Finance
Discipline of Accounting
Discipline of Digital Finance
Professor Info
Hu, Ya-Han
Title
Professor
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Academic BG.
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1. Chih-Fong Tsai, Kuen-Liang Sue, Ya-Han Hu*, Andy Chiu, Combining Feature Selection, Instance Selection, and Ensemble Classification Techniques for Improved Financial Distress Prediction, Journal of Business Research, accepted, 2021. (SSCI)
2. Chia-Hui Liu, Ya-Han Hu, Yu-Hsiu Lin*, A Machine Learning–Based Fall Risk Assessment Model for Inpatients, CIN: Computers, Informatics, Nursing, accepted, 2020. (SSCI)
3. 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, accepted, 2020. (SCI; IF=5.034; 2/27 in MEDICAL INFORMATICS)
4. 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, accepted, 2020. (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, accepted, 2020. (SCI IF=5.223; 1/27 in MEDICAL INFORMATICS)
6. Chun-Tien Tai, Kuen-Liang Sue, Ya-Han Hu*, Machine Learning in High-Alert Medication Treatment: A Study on the Cardiovascular Drug, Applied Science, 10, 5798, 2020. (SCI)
7. Zi-Hung You, Ya-Han Hu, Chih-Fong Tsai*, Yen-Ming Kuo, Integrating Feature and Instance Selection Techniques in Opinion Mining, International Journal of Data Warehousing and Mining, 16 (3), 2020. (SCI)
8. 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; 9/225 in MANAGEMENT)
9. 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, accepted, 2020. DOI: 10.2174/1567202617666200423092025 PMID: 32324514 (SCI)
10. 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)
11. Ya-Han Hu, Chun-Tien Tai, Kang Ernest Liu*, Cheng-Fang Cai, Identification of highly-cited papers using topic-model-based and bibliometric features: the consideration of keyword popularity, Journal of Informetrics, 14(1), 101004, 2020. (SSCI; IF=3.879; 10/89 in INFORMATION SCIENCE & LIBRARY SCIENCE)(SCI; IF=3.879; 21/106 in COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS)
12. 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, accepted, 2020. (SSCI)
13. 李珮如、胡雅涵、李彥賢、吳俊霆，運用資料探勘技術預測分析持續互動性高之粉絲團：以臉書醫療健康粉絲團為例，電子商務學報，已接受。(TSSCI)
14. 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)
15. 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)
16. Chih-Fong Tsai, Wei-Chao Lin*, Ya-Han Hu, and Guan-Ting Yao, Under-Sampling Class Imbalanced Datasets by Combining Clustering Analysis and Instance Selection, Information Sciences, 477 (2019) 47-54 (SCI)
17. Ya-Han Hu, Wen-Ming Shiau, Sheng-Pao Shih, Cho-Ju Chen, (2018) Considering online consumer reviews to predict movie box-office performance between the years 2009 and 2014 in the US, The Electronic Library, 36 (6) (2018) 1010-1026. (SSCI)
18. Ya-Han Hu, Chun-Tien Tai, Chih-Fong Tsai, and Min-Wei Huang, Improvement of Adequate Digoxin Dosage: An Application of Machine Learning Approach, Journal of Healthcare Engineering, vol. 2018, Article ID 3948245, 9 pages, 2018. (SCI)
19. 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, accepted. (SSCI)
20. Mao-Te Chuang, Ya-Han Hu, Chia-Lun Lo*, Predicting the Prolonged Length of Stay of General Surgery Patients: A Supervised Learning Approach, International Transactions in Operational Research, 25 (1) (2018) 75-90. (SSCI)
21. Pei-Ju Lee, Ya-HanHu*, Kuan-Ting Lu, Assessing the helpfulness of online hotel reviews: A classification-based approach, Telematics and Informatics, 35 (2), (2018), 436-445. (SSCI)
22. 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)
23. Ya-Han Hu, Kuanchin Chen, Pei-Ju Lee, The Effect of User Controllable Filters on the Prediction of Online Hotel Reviews, Information & Management, 54 (6) (2017) 728-744. (SSCI)
24. Lin, W.-C., Tsai, C.-F.*, Ya-Han Hu, and Jing-Shang Jhang, Clustering-Based Undersampling for Class-imbalanced Data. Information Sciences, 409-410 (2017) 17-26. (SCI)
25. Li-Chen Cheng, Ya-Han Hu*, Shr-Han Chiou, Applying the temporal abstraction technique to the prediction of chronic kidney disease progression, Journal of Medical Systems, 41 (2017) 85. (SCI)
26. Ya-Han Hu, Chun-Tien Tai, Solomon Chih-Cheng Chen, Hai-Wei Lee, Sheng-Feng Sung*, Predicting Return Visits to the Emergency Department for Pediatric Patients: Applying Supervised Learning Techniques to the Taiwan National Health Insurance Research Database, Computer Methods and Programs in Biomedicine, 144 (2017) 105-112. (SCI)
27. Ling-Chien Hung, Sheng-Feng Sung, Cheng-Yang Hsieh, Ya-Han Hu, Huey-Juan Lin, Yu-Wei Chen, Yea-Huei Kao Yang, Sue-Jane Lin. Validation of a Novel Claims-Based Stroke Severity Index in Patients with Intracerebral Hemorrhage, Journal of Epidemiology, 27 (1) (2017) 24-29. (SCI)
28. Fan Wu, Ya-Han Hu*, Ping-Rong Wang, Developing a Novel Recommender Network-Based Ranking Mechanism for Library Book Acquisition, The Electronic Library, 35 (1) (2017) 50-68.(SSCI)
29. Cheng-Che Shen, Li-Yu Hu, Ya-Han Hu*, Comorbidity study of borderline personality disorder: applying association rule mining to the Taiwan national health insurance research database, BMC Medical Informatics and Decision Making, 17 (1) (2017) 8. (SCI/SSCI)
30. Ke, S.-W., Lin, W.-C.*, Tsai, C.-F., and Ya-Han Hu (2017) Soft Estimation by Hierarchical Classification and Regression, 234 (2017/4) 27-37. Neurocomputing. (SCI)
31. Ya-Han Hu*, Yen-Liang Chen, Hui-Ling Chou, Opinion mining from online hotel reviews - A text summarization approach, Information Processing & Management, 53 (2) (2017) 436-449. (SSCI)
32. Cheng-Yang Hsieh, Huey-Juan Lin, Ya-Han Hu, Sheng-Feng Sung, Stroke severity may predict causes of readmission within one year in patients with first ischemic stroke event, Journal of the Neurological Sciences, 372 (2017) 21-27. (SCI)
33. Sung, S. F., Hsieh, C. Y., Lin, H. J., Chen, Y. W., Chen, C. H., Kao Yang, Y. H., & Ya-Han Hu*. Validity of a stroke severity index for administrative claims data research: a retrospective cohort study. BMC Health Services Research, 16:509 (2016). (SCI)
34. Ya-Han Hu, Kuanchin Chen*, Predicting hotel review helpfulness: the impact of review visibility, and interaction between hotel stars and review ratings, International Journal of Information Management, 36 (6) 929-944. (SSCI)
35. 胡雅涵、翁政雄*、楊亞澄，運用關聯規則及改變探勘技術於防火牆政策規則優化，資訊管理學報，23 (3) (2016) 277-304。(2016) (TSSCI)
36. Shen, C.-C., Ya-Han Hu, Lin, W.-C., Tsai, C.-F.*, and Ke, S.-W. Research Impacts of General and Funded Papers: A Citation Analysis of Two ACM International Conference Proceeding Series. Online Information Review, 40 (4) (2016) 472-480. (SSCI)
37. Ti Lu, Ya-Han Hu*, Chih-Fong Tsai, Shih-Ping Liu, Pei-Ling Chen, Applying Machine Learning Techniques to the Identification of Late-Onset Hypogonadism in Elderly Men, SpringerPlus, 5 (2016) 729. (SCI)
38. Sheng-Feng Sung, Solomon Chih-Cheng Chen, Cheng-Yang Hsieh, Chung-Yi Li, Edward Chia-Cheng Lai, Ya-Han Hu*, A comparison of stroke severity proxy measures for claims data research: A population-based cohort study, Pharmacoepidemiology and Drug Safety, 25 (2016) 438-443. (SCI)
39. Li-Yu Hu, Ya-Han Hu, Chih-Fong Tsai, Jian-Shian Wang, Min-Wei Huang*, Building an associative classifier with multiple minimum supports, SpringerPlus, 5 (2016) 528. (SCI)
40. Sheng-Feng Sung, Kang Ernest Liu, Solomon Chih-Cheng Chen, Chia-Lun Lo, Kuei-Chih Lin, Ya-Han Hu*, Predicting Factors and Risk Stratification for Return Visits to the Emergency Department Within 72 Hours in Pediatric Patients, Pediatric Emergency Care, 31 (12) (2015) 819-824. (SCI)
41. Sung, S. F., Hsieh, C. Y., Yang, Y. H. K., Lin, H. J., Chen, C. H., Chen, Y. W., & Ya-Han Hu*. Developing a stroke severity index based on administrative data was feasible using data mining techniques. Journal of Clinical Epidemiology, 68 (2015) 1292-1300. (SCI)
42. Ling-Chien Hung, Ya-Han Hu and Sheng-Feng Sung, Exploring the impact of intravenous thrombolysis on length of stay for acute ischemic stroke: a retrospective cohort study, BMC
Health Services Research, 15:404 (2015). (SCI)
43. Chen, C.-W., Lin, W.-C., Ke, S.-W., Tsai, C.-F.*, and Ya-Han Hu. On Mining Incomplete Medical Datasets: Ordering Imputation and Classification. Technology and Health Care, 23 (2015) 619-625.(SCI)
44. Kuanchin Chen, Ya-Han Hu*, and Yi-Cheng Hsieh, Predicting Customer Churn from Valuable B2B Customers in Logistic Industry: A case study, Information Systems and e-Business Management, 13 (3) (2015) 475-494. (SSCI)
45. 胡雅涵、李彥賢、林正賢，結合社會性標籤及文獻內容於個人化學術文章推薦，資訊管理學報， 22 (2) (2015) 171-198。(TSSCI)
46. Ya-Han Hu, WC Lin, CF Tsai, SW Ke, CW Chen, An efficient data preprocessing approach for large scale medical data mining, Technology and Health Care, 23 (2015) 153-160. (SCI)
47. Chih-Fong Tsai, Ya-Han Hu*, and Yu-Hsin Lu, Customer segmentation issues and strategies for an automobile dealership with two clustering techniques, Expert Systems, 32 (1) (2015) 65-76. (SCI)
48. Ya-Han Hu*, Chih-Fong Tsai, Chun-Tien Tai, In-Chi Chiang, A novel approach for mining cyclically repeated patterns with multiple minimum supports, Applied Soft Computing, 28 (2015) 90-99.(SCI)
49. Chih-Fong Tsai, Ya-Han Hu, and Zong-Yao Chen, Factors Affecting Rocchio Based Pseudo Relevance Feedback in Image Retrieval. Journal of the Association for Information Science and Technology, 66 (1) (2015) 40-57. (SSCI; IF=2.452; 12/86 in Information Science & Library Science)
50. Man-Ling Chen, Zhi-Yuan Su, Chia-Lun Lo, Chiung-Hsuan Chiu, Ya-Han Hu, Tien-Yu Shieh, An empirical study on the factors influencing the turnover intention of dentists in hospitals in Taiwan, Journal of Dental Sciences, 9 (4) (2014) 332-344. (SCI)
51. Ke, S.-W., Lin, W.-C., Tsai, C.-F., and Ya-Han Hu (2014) Citation Impact Analysis of Research Papers that Appear in Oral and Poster Sessions: A Case Study of Three Computer Science Conferences. Online Information Review, 38 (6) (2014) 738-745. (SSCI)
52. 胡雅涵、黃正魁、楊承翰，以基因演算法為基礎建立自動化文件分類模式，資訊管理學報，21
(3) (2014) 305-340。(TSSCI)
53. Chih-Fong Tsai, Ya-Han Hu, and Ke, S.-W. (2014) A Borda Count Approach to Combine Subjective and Objective based MIS Journal Rankings. Online Information Review, 38 (4) (2014) 469-483.(SSCI)
54. Hsu-Che Wu, Ya-Han Hu*, Yen-Hao Huang, Two-stage credit rating prediction using machine learning techniques, Kybernetes, 43 (7) (2014) 1098-1113. (SCI)
55. Ya-Han Hu, Chia-Lun Lo, Sheng-Pao Shih*, Developing early warning systems to predict students' online learning performance, Computers in Human Behavior, 36 (2014) 469-478. (SSCI)
56. Ya-Han Hu*, Tzu-Wei Yeh, Discovering valuable frequent patterns based on RFM analysis without customer identification information, Knowledge-Based Systems, 61 (2014) 76-88. (SCI)
57. Kang Ernest Liu, Chia-Lun Lo, Ya-Han Hu*, Improvement of adequate use of warfarin for the elderly using decision tree-based approaches, Methods of Information in Medicine, 53 (1) (2014)
47- 53. (SCI)
58. 謝宛芷、胡雅涵，文字探勘技術用於資安事件之自動化分類，電腦稽核，24 (2014) 92-101。
59. Shin-Yuan Hung, Ya-Han Hu*, Chin-S. Ou, Kuanchin Chen, Chun-Chuan Lu, The Influence of IT Investment on Business Performance: A Comparative Study of Regression Analysis and Artificial Neural Networks, Pacific Asia Journal of the Association for Information Systems, 5 (4) (2013) 27-60.
60. 羅家倫、胡雅涵、吳帆，以全人觀點設計一個之機構式老人照護資訊管理系統，醫療資訊雜誌， 22 (2) (2013) 15-34。
61. Ya-Han Hu*, Fan Wu, Yi-Jiun Liao, An efficient tree-based algorithm for mining sequential patterns with multiple minimum supports, Journal of Systems and Software, 86 (5) (2013) 1224-1238. (SCI)
62. Ya-Han Hu, Tony Cheng-Kui Huang, Yu-Hua Kao, Knowledge discovery of weighted RFM sequential patterns from customer sequence databases, Journal of Systems and Software, 86 (3)(2013) 779-788. (SCI)
63. F. Wu, H-T. Pai, X. Zhu, P-Y. Hsueh, Ya-Han Hu, An Adaptable and Scalable Group Access Control Scheme for Managing Wireless Sensor Networks, Telematics and Informatics, 30 (2) (2013) 144-
157. (SSCI)
64. Chih-Fong Tsai, Ya-Han Hu, Chia-Sheng Hung, Yu-Feng Hsu, A Comparative Study of Hybrid Machine Learning Techniques for Customer Lifetime Value Prediction, Kybernetes, 42 (3)(2013) 357-370. (SCI)
65. Ya-Han Hu, Chia-Lun Lo, Feng-I Chung, Applying RFM Analysis to Library-Book Recommender Systems, Communications of ICISA, 13 (2) (2012) 79-95.
66. Ya-Han Hu, Fan Wu*, Chia-Lun Lo, Chun-Tien Tai, Predicting Warfarin Dosage from Clinical Data: A Supervised Learning Approach, Artificial Intelligence in Medicine, 56 (1) (2012) 27-34. (SCI)
67. W.-Y. Lin, Ya-Han Hu, and C.-F. Tsai*, Machine Learning in Financial Crisis Prediction: A Survey. IEEE Transactions on Systems, Man and Cybernetics – Part C, 42 (4) (2012) 421-436. (SCI, SSCI)
68. Ya-Han Hu, Yen-Liang Chen*, and Kwei Tang, Sequential Pattern Mining in Business-to-Business (B2B) Environment, Journal of Information Science, 35 (6) (2009) 677-694. (SSCI).
69. Ya-Han Hu, Tony Cheng-Kui Huang*, Hui-Ru Yang, and Yen-Liang Chen, On Mining Multi-Time-Interval Sequential Patterns, Data and Knowledge Engineering, 68 (10) (2009) 1112-1127. (SCI)
70. Ya-Han Hu and Yen-Liang Chen* (2006), Mining association rules with multiple minimum supports: a new mining algorithm and a support tuning mechanism, Decision Support Systems, 42
(1) 1-24. (SCI)
71. Yen-Liang Chen* and Ya-Han Hu (2006), Constraint-based sequential pattern mining: The consideration of recency and compactness, Decision Support Systems, 42 (2) 1203-1215. (SCI)
72. Yen-Liang Chen*, Jhong-Jhih Wei, Shin-Yi Wu, and Ya-Han Hu (2006), A similarity-based method for retrieving documents from the SCI/SSCI database, Journal of Information Science, 32 (5) 449-
464. (SSCI)
73. Yen-Liang Chen*, Kwei Tang, Ren-Jie Shen and Ya-Han Hu (2005), Market basket analysis in a multiple store environment, Decision Support Systems, 40 (2) 339-354. (SCI)
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Hu, Ya-Han
EMBA
TEL: 03-4638800 ext. 6011
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Email:
yhhu@mgt.ncu.edu.tw
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College of Management, Yuan Ze University.
TEL: 03-463-8800 ext.6001-6004 FAX: 03-755-7040 E-mail:
cmdept@saturn.yzu.edu.tw
135 Yuan-Tung Road, Chung-Li Dist., Taoyuan City, Taiwan 32003, R.O.C