Yu-Kai LinAssistant Professor Department of Computer Information Systems
- Ph.D., University of Arizona
- MBA, National Tsing Hua University
- unstructured data analytics
- business analytics and intelligence
- health information technology
- digital innovation
Dr. Yu-Kai Lin is an assistant professor of computer information systems and a member of the Center for Digital Innovation (CDIN) at the Robinson College of Business, Georgia State University. He received his Ph.D. in Management Information Systems from the Eller College of Management at the University of Arizona. His research and teaching interests centered on making predictions or inferences based on large-scale structured and unstructured data. He studies a broad range of topics including digital innovation, open source projects, intellectual property, crowdfunding, health IT, and business analytics. His work has been published, or is forthcoming, in MIS Quarterly, Information Systems Research, Organization Science, Journal of Management Information Systems, Journal of Biomedical Informatics, and IEEE Intelligent Systems.
- Yu-Kai Lin*, Arun Rai*, and Yukun Yang* (forthcoming) “Information Control for Creator Brand Management in Subscription-Based Crowdfunding,” Information Systems Research (* equal authorship)
- Yu-Kai Lin and Likoebe Maruping (forthcoming) “Open Source Collaboration in Digital Entrepreneurship,” Organization Science
- Yu-Kai Lin and Xiao Fang (forthcoming) “First, Do No Harm: Predictive Analytics to Reduce In-Hospital Adverse Events,” Journal of Management Information Systems
- Yu-Kai Lin, Mingfeng Lin, and Hsinchun Chen (2019) “Do Electronic Health Records Affect Quality of Care? Evidence from the HITECH Act,” Information Systems Research (30:1), pp. 306–318.
- 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.
- 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.
- 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.