Predicting High-Risk Prostate Cancer Using Machine Learning Methods
Abstract
Prostate cancer can be low- or high-risk to the patient’s health. Current screening on the basis of prostate-specific antigen (PSA) levels has a tendency towards both false positives and false negatives, both of which have negative consequences. We obtained a dataset of 35,875 patients from the screening arm of the National Cancer Institute’s Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. We segmented the data into instances...
Paper Details
Title
Predicting High-Risk Prostate Cancer Using Machine Learning Methods
Published Date
Sep 2, 2019
Journal
Volume
4
Issue
3
Pages
129 - 129
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