Using Machine Learning to Leverage Biomarker Change and Predict Colorectal Cancer Recurrence.
Patricia J RodriguezPatrick J HeagertySamantha E ClarkSara KhorYilin ChenEric C HauptErin E HahnVeena ShankaranAasthaa BansalPublished in: JCO clinical cancer informatics (2023)
A flexible, machine learning approach that incorporated longitudinal CEA information yielded a simple and high-performing model for predicting recurrence on the basis of 6-month change in log CEA.