專任副教授
Associate Professor
康藝晃
Yihuang Kang
學歷
- 美國匹茲堡大學資訊科學博士
- 美國匹茲堡大學資訊科學碩士
- 國立雲林科技大學資訊管理學士
經歷
- 國立中山大學資訊管理學系, 副教授, 2022/02 - present
- 國立中山大學資訊管理學系, 助理教授, 2015/02 - 2022/01
- 高雄醫學大學醫務管理暨醫療資訊學系, 合聘副教授, 2023/08 - present
- 資策會數位教育研究所, 講師, 2017 - 2019
- 美國匹茲堡大學健康政策與管理部門, Senior Data Analyst, 2014 - 2015
- 美國匹茲堡大學醫學中心, Senior Programmer, 2009 - 2014
學術榮耀
- 傑出校友,雲林科技大學管理學院 2020
- 逸仙新進管理學者獎, 中山大學管理學院, 2016
- Recognition of Services, University of Pittsburgh School of Medicine, 2014
- SAS Certified Statistical Business Analyst, 2013
- Microsoft Certified Technology Specialist, 2009
- SAS Certified Base Programmer, 2007
- Sun Certified Programmer for the Java 2, 2004
- Linux Professional Institute Certification, 2003
期刊論文
- S.-Y. Chien, S.-F. Chao, Y. Kang, C. Hsu, M.-H. Yu, and C.-T. Ku,, Understanding Predictive Factors of Dementia for Older Adults: A Machine Learning Approach for Modeling Dementia Influencers, International Journal of Human-Computer Studies, Vol.165, 2022
- Y. Kang, S.-T. Huang, and P.-H. Wu, Detection of Drug–Drug and Drug–Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests, SN Computer Science, Vol.2, No.4, 2021, pp.299 (Artificial Intelligence for HealthCare, Springer Nature)
- SM Altawalbeh, CT Thorpe, JC Zgibor, S Kane-Gill, Y Kang, JM Thorpe, Economic Burden Associated with Receiving Inhaled Corticosteroids with Leukotriene Receptor Antagonists or Long-Acting Beta Agonists as Combination Therapy in Older Adults, Journal of managed care & specialty pharmacy, Vol.24, No.5, 2018, pp.478-486
- C. T Thorpe, N. R. Fowler, K. Harrigan, X. Zhao, Y. Kang, J. T. Hanlon, W. F Gellad, L. J. Schleiden, J. M Thorpe, Racial and Ethnic Differences in Initiation and Discontinuation of Antidementia Drugs by Medicare Beneficiaries, Journal of the American Geriatrics Society, 2016
- SM Altawalbeh, CT Thorpe, JC Zgibor, S Kane‐Gill, Y Kang, JM Thorpe, Antileukotriene Agents Versus Long‐Acting Beta‐Agonists in Older Adults with Persistent Asthma: A Comparison of Add‐On Therapies, Journal of the American Geriatrics Society, 2016
- H. Degenholtz, M. Park, Y. Kang, P. Nadash, Variations Among Medicare Beneficiaries Living in Different Settings: Demographics, Health Status, and Service Use., Research on aging, 2015
- Y. Kang, V. Zadorozhny, Process Monitoring using Maximum Sequence Divergence, Knowledge and Information Systems (KAIS), Vol.48, 2015, pp.81-109
- H. Degenholtz, Y. Kang, S. Hardy, Chronic Disease and Disability: Primary Care Can Moderate Decline in Physical Function Over Time, Gerontologist, No.53, 2013
- H. Degenholtz, S. Hardy, P. Nadash, Y. Kang, Use and Cost of Health Care Services for Medicare Beneficiaries in Different Types of Housing, Gerontologist, No.53, 2013
- H. Degenholtz, S. Hardy, Y. Kang, Chronic Disease and Disability: Longitudinal Analysis of MCBS Data, Gerontologist, No.52, 2012
- S. Hardy, Y. Kang, S. Studenski, H. Degenholtz, Ability to walk 1/4 mile predicts subsequent disability, mortality, and health care costs, Journal of General Internal Medicine, No.2, 2011
研討會論文
- Chan Hsu, Chan-Tung Ku, Yuwen Wang, Minchen Hsieh, Jun-Ting Wu, Yunhsiang Hsieh, PoFeng Chang, Yimin Lu, Yihuang Kang, A Teacher-Student Knowledge Distillation Framework for Enhanced Detection of Anomalous User Activity, IEEE 24th International Conference on Information Reuse and Integration for Data Science, Bellevue, WA, USA , 4~ 6 2023
- Chan Hsu, Wei-Chun Huang, Jun-Ting Wu, Chih-Yuan Li, Yihuang Kang, Toward Transparent Sequence Models with Model-Based Tree Markov Model, 2023 IEEE 6th International Conference on Multimedia Information Processing and Retrieval, Singapore, ~ 2023
- Y. Kang, Y.-W. Chiu, M.-Y. Lin, F. Su, and S.-T. Huang, Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning, 2021 IEEE 22st International Conference on Information Reuse and Integration for Data Science (IEEE Workshop on AI for HealthCare), Virtual Conference, 2021, pp.342-347 [file download]
- B. Kuo, Y. Kang, P. Wu, S.-T. Huang, Y. Huang, Discovering Drug-Drug and Drug-Disease Interactions Inducing Acute Kidney Injury Using Deep Rule Forests, 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IEEE Workshop on AI for HealthCare), Virtual Conference, 2020, pp.385-390
- Y Kang, IL Cheng, W Mao, B Kuo, PJ Lee, Towards Interpretable Deep Extreme Multi-label Learning, IEEE 20th International Conference on Information Reuse and Integration for Data Science, Los Angeles, CA, USA, 2019 [file download]
- Y. Kang, KP Lin, IL Cheng, Topic Diffusion Discovery based on Sparseness-constrained Non-negative Matrix Factorization, IEEE 19th International Conference on Information Reuse and Integration for Data Science, Salt Lake City, Utah, USA, 2018 [file download]
- IL Cheng, SW Chew, Y. Kang, W. Chang, NS Chen, Exploring the Difference in Brain Activities under Three Distinct Tasks: Listening to Music, Gaming, and Learning, 2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT), Austin, Texas, USA , 2016
- Y. Kang, V. Zadorozhny, Process Discovery using Classification Tree Hidden Semi-Markov Model, 2016 IEEE International Conference on Information Reuse and Integration (IRI-DIM), 2016, pp. 361–368, Pittsburgh, PA, 2016 [file download]
國科會計畫
- 以專家迴路加速機器學習-以精準用藥為例, 主持人, 2021-8-1-2022-7-31
- 建立公平、負責、與透明的智慧商務應用: 可解釋的多模態特徵學習, 主持人, 2020-8-1-2021-7-31
- 建立公平、負責、與透明的智慧商務應用︰可解釋的極度多標籤特徵學習, 主持人, 2019-8-1-2020-7-31
- 建立公平、負責、與透明的智慧商務應用：使用深度規則森林演算法, 主持人, 2018-8-1-2019-7-31
- 基於稀疏限制非負矩陣分解法的新興主題發現 , 主持人, 2017-8-1-2018-7-31
- 基於分散式整合樹概率模型的巨量資料流程發現, 主持人, 2016-8-1-2017-7-31
- 勞工薪資之趨勢研究: 巨量資料應用分析, 共同主持人, 2016-6-1-2017-5-31
- 基於樹狀概率模型的流程發現—以醫療保健資料為例, 主持人, 2015-9-1-2016-8-31
其他委託計畫
- 使用者帳號行為異常偵測模型
-日月光半導體製造股份有限公司委托, 主持人, 2022-9-1-2023-8-31 - 具備動態資源配置之 MLOps 平台
-聯華電子股份有限公司委托, 主持人, 2021-7-1-2022-6-30 - 開發智慧型的臨床照護與健康政策評估系統-以糖尿病全疾病模型為例
-國家衛生研究院委托, 共同主持人, 2018-1-1-2021-12-31 - 資料整合分析平台
-聯華電子股份有限公司委托, 主持人, 2018-7-1-2020-12-31 - 消費客群影像辨識模型開發與設計
-協同數位股份有限公司委托, 主持人, 2019-1--2019-11- - 以樹狀半馬可夫模型偵測藥物交互作用與心血管風險之相關性
-國立中山大學與高雄醫學大學合作研究計畫委托, 共同主持人, 2017-1-1-2017-12-31 - 以資料探勘技術探索藥物交互作用引起急性腎損傷之風險
-國立中山大學與高雄醫學大學合作研究計畫委托, 共同主持人, 2016-1-2-2016-12-31
資管系課程
| 學年度 | 課程名稱 | 學分 |
| 106 | 巨量資料分析導論(併) | 3 |
| 企業流程專案（一） | 3 |
| 企業流程專案（二） | 3 |
| 程式設計 | 3 |
| 程式設計實習 | 1 |
| 105 | 巨量資料分析實務(併) | 3 |
| 巨量資料分析導論 | 3 |
| 企業流程專案（一） | 3 |
| 企業流程專案（二） | 3 |
| 程式設計 | 3 |
| 程式設計實習 | 1 |
| 104 | 企業流程專案（二） | 3 |
| 程式設計 | 3 |
| 程式設計實習 | 3 |
| 企業流程專案（一） | 3 |
| 103 | 程式設計 | 3 |
| 程式設計實習 | 1 |
| 企業流程專案（一） | 3 |
資管碩課程
| 學年度 | 課程名稱 | 學分 |
| 106 | 巨量資料分析導論 | 3 |
| 專題討論 | 3 |
| 專題討論 | 3 |
| 105 | 巨量資料分析實務 | 3 |
| 巨量資料分析導論(併) | 3 |
| 專題討論 | 3 |
| 104 | 巨量資料分析導論 | 3 |
| 巨量資料分析實務 | 3 |
資管博課程
| 學年度 | 課程名稱 | 學分 |
| 106 | 高等資管專題研討（二） | 1 |
| 高等資管專題研討（四） | 1 |
資管碩專課程
| 學年度 | 課程名稱 | 學分 |
| 106 | 巨量資料分析導論(併) | 3 |
| 書報討論（一）(合授) | 3 |
| 書報討論（二）(合授) | 3 |
| 專題討論(併) | 3 |
| 專題討論(併) | 3 |
| 105 | 巨量資料分析實務(併) | 3 |
| 書報討論（一）(合授) | 3 |
| 專題討論(併) | 3 |
| 104 | 書報討論（一）(合授) | 3 |
| 巨量資料分析導論(併) | 3 |
| 巨量資料分析實務(併) | 3 |
電商碩專課程
