Yu-Kai Lin, PhD

Department of Computer Information Systems
Robinson College of Business, Georgia State University
Atlanta, Georgia 30303

Email:
Phone: +1 (404) 413-7360

CV in PDF 		Yu-Kai Lin

Employment

2017-Present Assistant Professor Georgia State University, Robinson College of Business Atlanta, GA
2015-2017 Assistant Professor Florida State University, College of Business Tallahassee, FL
2010-2015 Research Associate University of Arizona, Artificial Intelligence Lab Tucson, AZ

Education

Ph.D. Eller College of Management, Department of Management Information Systems
University of Arizona, 2015
Major: Management Information Systems
Minor: Economics
Dissertation Title: Health Analytics and Predictive Modeling: Four Essays on Health Informatics
Dissertation Committee: Hsinchun Chen (chair), Paulo Goes, Mingfeng Lin
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M.B.A. College of Technology Management, Institute of Technology Management
National Tsing Hua University, 2006
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B.B.A. College of Business, Department of Information Management
Chung Yuan Christian University, 2004

Research

Peer-reviewed Journal Publications

  1. Lin, Y.-K., Lin, M., and Chen, H. (2019) “Do Electronic Health Records Affect Quality of Care? Evidence from the HITECH Act,” Information Systems Research (30:1), pp. 306–318.
  2. Yu-Kai Lin, Hsinchun Chen, Randall Brown, and Shu-Hsing Li. (2017) “Healthcare Predictive Analytics for Risk Profiling in Chronic Care: A Bayesian Multitask Learning Approach,” MIS Quarterly (41:2), pp. 473-495.
  3. Yu-Kai Lin, Hsinchun Chen, Randall A Brown, Shu-Hsing Li, and Hung-Jen Yang. (2014) “Time-to-Event Predictive Modeling for Chronic Conditions Using Electronic Health Records,” IEEE Intelligent Systems (29:3), pp. 14-20.
  4. Yu-Kai Lin, Hsinchun Chen, and Randall A. Brown. (2013) “MedTime: A Temporal Information Extraction System for Clinical Narratives,” Journal of Biomedical Informatics (46), pp. S20-S28.
  5. Yu-Kai Lin, Randall A. Brown, Hung Jen Yang, Shu-Hsing Li, Hsin-Min Lu, and Hsinchun Chen. (2011) “Data Mining Large-Scale Electronic Health Records for Clinical Support,” IEEE Intelligent Systems (26:5), pp. 87-90.

Work in Progress and Working Papers

  1. Information Control for Creator Brand Management in Subscription-Based Crowdfunding (with Arun Rai and Yukun Yang; Status: under major revision) [SSRN]
  2. Open Source Collaboration in Digital Ventures (with Likoebe Maruping; Status: under major revision) [SSRN]
  3. Patent Protection and Software Innovation: Evidence from Alice (with Arun Rai; Status: manuscript in development) [SSRN]
  4. Toward a Better Understanding of AI Innovations (with Likoebe Maruping; Status: manuscript in development) [SSRN]
  5. First, Do No Harm: Predictive Analytics to Reduce In-Hospital Adverse Events (with Xiao Fang; Status: manuscript in development) [SSRN]

Conference Papers and Presentations

  1. Toward a Better Understanding of AI Innovations (with Likoebe Maruping); The 2020 Workshop on Information Technologies and Systems (WITS 2020)
  2. Restricting the Scope of Software Patent Protection: Beneficial Evidence of Alice (with Arun Rai); The 2020 INFORMS Conference on Information Systems and Technology (CIST 2020)
  3. Open Source Collaboration in Digital Ventures (with Likoebe Maruping); The 2020 INFORMS Conference on Information Systems and Technology (CIST 2020)
  4. Getting Behind Closed Doors: Developing Fan Engagement in Subscription-Based Crowdfunding (with Arun Rai and Yukun Yang); The 2019 Workshop on Information Systems and Economics (WISE 2019)
  5. Getting Behind Closed Doors: Developing Fan Engagement in Subscription-Based Crowdfunding (with Arun Rai and Yukun Yang); The 2019 INFORMS Conference on Information Systems and Technology (CIST 2019)
  6. A Prediction Model for Adverse Events in Hospitalized Patients (with Xiao Fang); The 2018 INFORMS Conference (INFORMS 2018)
  7. First, Do No Harm: Predictive Analytics for Risks of In-Hospital Adverse Events (with Xiao Fang); The 2017 INFORMS Data Science Workshop (DS 2017)
  8. Differentiating the Impacts of Adoption and Use on Organizational Performance: The Case of Electronic Health Records (with Mingfeng Lin and Hsinchun Chen); The 2017 Winter Conference on Business Analytics (WCBA 2017)
  9. Healthcare Predictive Analytics for Risk Profiling in Chronic Care: A Bayesian Multitask Learning Approach (with Hsinchun Chen, Randall Brown, Shu-Hsing Li, and Hung-Jen Yang); The 2017 Winter Conference on Business Analytics (WCBA 2017)
  10. To Join or To Take Over: External Corporate Ventures and the Choice between Investment and Acquisition in the IT Industry (with Mingfeng Lin and Xinlin Tang); The 2016 Workshop on Information Systems Economics (WISE 2016)
  11. Bayesian Multi-Task Learning for Risk Profiling in Chronic Care (with Hsinchun Chen, Randall Brown, Shu-Hsing Li, and Hung-Jen Yang); The 2015 INFORMS Healthcare Conference
  12. Beyond Adoption: Does Meaningful Use of EHR Improve Quality of Care? (with Mingfeng Lin and Hsinchun Chen); The 2014 Workshop on Information Systems Economics (WISE 2014)
  13. Healthcare Analytics and Clinical Intelligence: A Risk Prediction Framework for Chronic Care (with Hsinchun Chen, Randall Brown, Shu-Hsing Li, and Hung-Jen Yang); The 2014 Workshop on Information Technologies and Systems (WITS 2014). Nominated for Best Paper Award
  14. Predictive Analytics for Chronic Care: A Time-to-Event Modeling Framework using Electronic Health Records (with Hsinchun Chen, Randall Brown, Shu-Hsing Li, and Hung-Jen Yang); The 2014 INFORMS Conference on Information Systems and Technology (CIST 2014)
  15. Beyond Adoption: Does Meaningful Use of EHR Improve Quality of Care? (with Mingfeng Lin and Hsinchun Chen); The 2014 INFORMS Conference on Information Systems and Technology (CIST 2014)
  16. Beyond Adoption: Does Meaningful Use of EHR Improve Quality of Care? (with Mingfeng Lin and Hsinchun Chen); The 5th Annual Workshop on Health IT and Economics (WHITE 2014)
  17. MedTime: A Temporal Information Extraction System for Clinical Narratives (with Randall A. Brown, and Hsinchun Chen); The 2012 i2b2 Workshop
  18. Automatic Learning of A Supervised Classifier for Patent Prior Art Retrieval (with Hung-Chen Chen, Chih-Ping Wei, and Chin-Sheng Yang); The 2010 Pacific Asia Conference on Information Systems (PACIS 2010)
  19. Exploiting Item Heterogeneity for Collaborative Filtering Recommendation (with Hung-Chen Chen, Chih-Ping Wei, and Ying-Siou Dai); The 4th China Summer Workshop on Information Management (CSWIM 2010)
  20. Deriving Technology Roadmaps with Tech Mining Techniques (with Fu-Ren Lin, Chih-Ping Wei, and Yu-Liang Shyu); The 2008 Pacific Asia Conference on Information Systems (PACIS 2008)

Awards, Honors and Grants

Professional Services

Professional Service Activities

Service Activities Internal to the University

Teaching Experience

Georiga State University

Florida State University

University of Arizona

Professional Memberships

Technical Skills and Familiarity


Revised on 2020-11-15