Paper published in BMC Medical Informatics and Decision Making
Abstract
Our paper, Explainable Counterfactual Reasoning in Depression Medication Selection at Multi-Levels (Personalized and Population), has been accepted and published in BMC Medical Informatics and Decision Making.
Our paper, Explainable Counterfactual Reasoning in Depression Medication Selection at Multi-Levels (Personalized and Population), has been accepted and published in BMC Medical Informatics and Decision Making. The article was published online on March 4, 2026.
Authors: Xinyu Qin, Mark H. Chignell, Alexandria Greifenberger, Sachinthya Lokuge, Elssa Toumeh, Tia Sternat, Martin Katzman, and Lu Wang.
Lu Wang
Assistant Professor of Biomedical Engineering
My research interests are developing and applying Machine Learning, Data Mining and Statistical methods (e.g., Multi-task Learning, Survival Analysis, Clustering, Risk Factor Analysis and Causal Discovery) on various data including gene expression, electronic health/medical records, and DNA sequencing reads for both cognitive disorders (e.g., delirium, Alzheimer’s disease, dementia, major depressive disorder) and chronic diseases (e.g., cancer, obesity, hypertension). Inspired by the human factors approach, she also designs and develops Human-Centered Artificial Intelligence tools for users to integrate, visualize, analyze, and interpret health data in order to improve the interoperability and accessibility of AI-assisted healthcare decision support.