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
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- 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