Development of a Predictive Model to Assess Pancreatic Cancer Risk Using Machine Learning

Dr. Evi Farazi, Assistant Professor in the Department of Epidemiology, will discuss:

  • *Limitations of standard logistic regression methods to address large datasets with hundreds of variables
  • *Machine learning approaches such as Bayesian Network analyses for handling large datasets with hundreds of variables
  • *Integrated Cancer Data Repository for Cancer Research Registry at the Fred & Pamela Buffett Cancer Center
  • *Results of using Bayesian Network analyses in  a pancreatic cancer dataset
  •  
  • Zoom link: https://unmc.zoom.us/j/3177030744

Monday, May 14, 2018 at 12:00pm to 1:00pm

Center for Nursing Science, 40118
4101 Dewey Ave, Omaha, NE 68131

Event Type

Research

Audience

Faculty and Staff

College/Department

Research Interest Groups, Clinical Translational Research (CTR), IDeA-CTR

Website

https://gpctr.unmc.edu/

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