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

• Artificial Intelligence

• Machine Learning

• Natural Language Processing

• Healthcare Analytics

• Social Network Analysis

Awards

Selected Publications

• Geng, S., Zhang, W., Xie, J., Liang, G., Niu, B., & Ram, S. (forthcoming) "Predicting Consultation Success in Online Health Platforms Using Dynamic Knowledge Networks and Multimodal Data Fusion", MIS Quarterly: Management Information Systems,

• Wang, S., Jiang, Y., Li, Q., & Zhang, W. (forthcoming) "Intensive Care Unit Patient Outcome Prediction Using ν-Support Vector Classification and Stochastic Signal Processing–Based Feature Extraction Techniques: Algorithm Development and Validation Study", Journal of Medical Internet Research AI, Link to Paper

• Jiang, Y., Li, Q., & Zhang, W. (forthcoming) ": A Real-Time Signal-Based Wavelet Long Short-Term Memory Method for Length-of-Stay Prediction for the Intensive Care Unit: Development and Evaluation Study", Journal of Medical Internet Research AI, Link to Paper

• Jiang, Y., Wang, S., Li, Q., & Zhang, W. (2025) "ICU Outcome Predictions Using Real-Time Signals with Wavelet-Transform-based Deep Learning Method", Transactions on Management Information Systems, 16 (4):1-29. Link to Paper

• Jiang, Y., Li, Q., Huang, Y-L, & Zhang, W. (2025) "Urgency Prediction for Medical Laboratory Tests Through Optimal Sparse Decision Tree: A Case Study with Echocardiograms", Journal of Medical Internet Research AI, 4:e64188. Link to Paper

• 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", IEEE Journal of Biomedical and Health Informatics, 19 (4):1216-1223. Link to Paper