Deep learning in depression rate modeling
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Keywords: Deep learning, big data, Medical geography, GIS
Abstract Type: Paper Abstract
Authors:
Abolfazl Mollalo, Baldwin Wallace University
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Abstract
In this study, we have employed a deep learning model for modeling the depression rate in a geographical information system (GIS) framework in the united states. We showed that our approach achieves sizable accuracy improvements in disease modeling.
Deep learning in depression rate modeling
Category
Paper Abstract
