Predicting the Travel Distance of Patients to Access Healthcare Using Deep Neural Networks.
Journal:
IEEE journal of translational engineering in health and medicine
Published Date:
Dec 8, 2021
Abstract
OBJECTIVE: Improving geographical access remains a key issue in determining the sufficiency of regional medical resources during health policy design. However, patient choices can be the result of the complex interactivity of various factors. The aim of this study is to propose a deep neural network approach to model the complex decision of patient choice in travel distance to access care, which is an important indicator for policymaking in allocating resources.