Predicting Colorectal Cancer Mortality: Models to Facilitate Patient‐Physician Conversations and Inform Operational Decision Making

Margret Bjarnadottir, David Anderson, Leila Zia and Kim Rhoads

Production and Operations Management, 2018, vol. 27, issue 12, 2162-2183

Abstract: Having accurate, unbiased prognosis information can help patients and providers make better decisions about what course of treatment to take. Using a comprehensive dataset of all colorectal cancer patients in California, we generate predictive models that estimate short‐term and medium‐term survival probabilities for patients based on their clinical and demographic information. Our study addresses some of the contradictions in the literature about survival rates and significantly improves predictive power over the performance of any model in previously published studies.

Date: 2018
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