Statistical Analytics and Regional Representation Learning for COVID-19 Pandemic Understanding

Abstract

This study aims to gather an extensive collection of regional features along with COVID-19 pandemic patterns across the United States and to design statistical methodologies and machine learning pipelines to provide means for a more thorough understanding of the patterns and enable the use of Artificial Intelligence.

Publication
IEEE 9th International Conference on Healthcare Informatics
Shayan Fazeli
Shayan Fazeli
Ph.D. Candidate in Computer Science

Ph.D. candidate researcher at the eHealth and Data Analytics Lab - CS [at] UCLA

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