Title:
Data Analytics for Detecting Prostate Cancer Using Radiographic Imaging

Abstract:
Predictive models have an important role to play in detecting asymptomatic cancer. This presentation will discuss approaches for using patient data and machine learning to predict whether patients will benefit from radiologic imaging, like CT scans, for diagnosing the presence of metastatic cancer.

Bio:
Brian Denton is Chair of the Department of Industrial and Operations Engineering at the University of Michigan. His research interests are in data-driven decision making and optimization under uncertainty with applications to medicine. Before joining the University of Michigan he worked at IBM, Mayo Clinic, and North Carolina State University. He is an INFORMS Fellow, past Chair of the INFORMS Health Applications Section, and he served as Secretary of INFORMS, and President of INFORMS.