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Predicting the Travel Distance of Patients to Access Healthcare using Deep Neural Networks
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.
Using Deep Learning and Explainable Artificial Intelligence in Patients' Choices of Hospital Levels
This study also used explainable artificial intelligence methods to interpret the contribution of features for the general public and individuals.
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