Medicine and Health Sciences Commons^™

Machine Learning Approaches To Understanding And Predicting Cancer Screening Follow Through With Population And Health System Data, Matthew Davis

MUSC Theses and Dissertations

Introduction

Cancer is the second leading cause of death in the United States and cancer screening is a primary tool to reduce mortality. However, not all who are recommended to be screened actually follow through. This study investigates whether electronic medical record and geographic data is suitable to predict which patients are at risk of missing recommended screenings. The goal of this investigation is to design a data informed system that can automate the prediction of those at risk for missing screenings and provide insights into underlying reasons. This will enable resources to be focused to increase cancer screening adherence, …