Abstract PO-073: Using machine learning to identify the risk factors of pancreatic cancer from the PLCO dataset

Background: Pancreatic cancer (PC) is a disease with poor prognosis and survival rate. There is a pertinent need to identify the risk factors of this disease. The purpose of this study is to use machine learning methods to identify a subset of factors (a.k.a. features) from the PLCO dataset as predictors of PC. The Prostate, Lung, Colorectal and Ovarian (PLCO) cancer dataset is collected by the National Cancer Institute from 155,000 participants...