Data Fusion and Statistical Learning in Patient Care Cycle: From Diagnosis to Care to System-Level Decision-Making
Presented by Bing Si, School of Computing, Informatics and Decision Systems Engineering at Arizona State University
Thursday, January 18, 2018
Bing Si is a PhD student in Industrial Engineering at ASU. Her research has been applied to a number of disease domains including Alzheimer's disease, migraine, and traumatic brain injury. In this talk, she will present two topics (Multimodality Factor Mixture Model and Multi-level Model) that tackle the data science challenges in migraine diagnosis/subtyping and in care coordination, respectively.