Ivy Profile

Bio

Wenli's research interests revolve around the areas of data science and information system design, especially in developing techniques based on deep learning, machine learning, natural language processing, network analysis, and distributed computing for solving real-world problems within the context of healthcare and other business concerns. Her current research focus is on developing innovative information technologies to lower healthcare costs, improve healthcare process, and improve chronic disease control.

Academic History

• Ph.D., Management Information Systems, University of Arizona, 2018

Expertise

• Machine Learning

• Artificial Intelligence

• Data Mining

• Healthcare Analytics

• Natural Language Processing

• Social Network Analysis

Awards

Selected Publications

• Wang, S., Jiang, Y., Li, Q., & Zhang, W. (Corresponding Author) (2024) "Timely ICU Outcome Prediction Utilizing Stochastic Signal Analysis and Machine Learning Techniques with Readily Available Vital Sign Data", IEEE Journal of Biomedical and Health Informatics, 28 (9):5587-5599. Link to Paper

• Zhang, W., Xie, J., Zhang, Z., & Liu, X. (2024) "Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach", Journal of Management Information Systems, 41 (2):546-580. Link to Paper

• Zhang, W., & Ram, S. (2020) "A Comprehensive Analysis of Triggers and Risk Factors for Asthma Based on Machine Learning and Large Heterogeneous Data Sources", MIS Quarterly: Management Information Systems, 44 (1b):305-349. Link to Paper

• Ram, S., Zhang, W., Williams, M., & Pengetnze, Y. (2015) "Predicting Asthma-Related Emergency Department Visits Using Big Data", 19 (4):1216-1223. Link to Paper