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香港城市大学商学院老师教授导师介绍简介-Dr. WANG Le

本站小编 Free考研考试/2022-01-30

Dr. WANG Le 王乐博士 Department of Information Systems
Assistant Professor

Address
6-276, Lau Ming Wai Academic Building, City University of Hong Kong

Phone
+852 34429228

Fax
+852 34420370

Email
Le.Wang@cityu.edu.hk



Research Areas Healthcare IT
AI Application in Business
Digital Platforms


Qualifications PhD - Information Systems (Nanyang Technological University)
MS - Information Systems (Harbin Institute of Technology)


Biography Le Wang is an assistant professor in the Department of Information Systems at the City University of Hong Kong. He received his Ph.D. from the Nanyang Business School at Nanyang Technological University. His general areas of research are health informatics, application of AI in business, and user behavior in digital platforms, with a focus on understanding individual behavior in this digital era.


Teaching Areas Python programming

Big data and data analytics



Publications Journal Publications and Reviews Goh, Kim Huat; Wang, Le; Yeow, Adrian Yong Kwang; Ding, Yew Yoong; Au, Lydia Shu Yi; Poh, Hermione Mei Niang; Li, Ke; Yeow, Joannas Jie Lin; Tan, Gamaliel Yu Heng / Prediction of readmission in geriatric patients from clinical notes: Retrospective text mining study. October 2021; In: Journal of Medical Internet Research. Vol. 23, No. 10

Goh, Kim Huat; Wang, Le; Yeow, Adrian Yong Kwang; Poh, Hermione; Li, Ke; Yeow, Joannas Jie Lin; Tan, Gamaliel Yu Heng / Artificial intelligence in sepsis early prediction and diagnosis using unstructured data in healthcare. January 2021; In: Nature Communications. Vol. 12

Guan, Tao; Wang, Le; Jin, Jiahua; Song, Xiaolong / Knowledge contribution behavior in online Q&A communities: An empirical investigation. April 2018; In: Computers in Human Behavior. Vol. 81, pp. 137-147


Chapters, Conference Papers, Creative and Literary Works Wang, Le; Mo, Jiahui; Li, Beibei / Fake It Till You Make It: An Empirical Investigation of Sales Fraud in E-commerce. July 2019; PACIS 2019 Proceedings.

Wang, Le; Mo, Jiahui; Li, Beibei / An empirical investigation of sales cheating effect in E-commerce. 2018; International Conference on Information Systems 2018, ICIS 2018.













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