Yiqun Jiang, PhD

About

Dr. Jiang’s research focuses on statistical learning and clinical decision support. She collaborates with clinicians and interdisciplinary teams to design analytic strategies using EHR data, real-time physiologic signals, clinical text, and social determinants of health. Dr. Jiang’s work spans multiple domains, including cardiology, oncology, critical care, and primary care, with an emphasis on predictive modeling and causal inference.

Education and Degree(s)

Ph.D., Industrial and Manufacturing Systems Engineering (focus: Health Informatics), Iowa State University, 2024
M.S., Statistics, University of Wisconsin–Madison, 2019
B.S., Statistics, East China Normal University, 2018

Publications

Jiang Y, Wang S, Li Q, Zhang W (2025) ICU Outcome Predictions Using Real-Time Signals with Wavelet-Transform-based Deep Learning Method. ACM Transactions on Management Information Systems 16(4):Article 29, 1–29. doi: 10.1145/3727624

Jiang Y, Li Q, Zhang W (2025) 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. JMIR AI 4:e71247. doi: 10.2196/71247

Wang S, Jiang Y, Li Q, Zhang W (2025) Intensive Care Unit Patient Outcome Prediction Using ν-Support Vector Classification and Stochastic Signal Processing–Based Feature Extraction Techniques: Algorithm Development. JMIR AI 4(1):e72671. doi: 10.2196/72671

Jiang Y, Huang YL, Watral A, Blocker RC, Rushlow DR (2024) Predicting provider workload using predicted patient risk score and social determinants of health in primary care setting. Applied Clinical Informatics 15(3):511–527. doi: 10.1055/s-0044-1787647

Wang S, Jiang Y, Li Q, Zhang W (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. doi: 10.1109/JBHI.2024.3293279