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DOE OSTI · 1763559

Rapid Response Data Science for COVID-19

Bandlow, Alisa·Bauer, Travis L.·Crossno, Patricia J.·Garcia, Rudy J.·Astuto-Gribble, Lisa M·Hernandez, Patricia Marie·Martin, Shawn·McClain, Jonathan T.·Patrizi, Laura
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Abstract

This report describes the results of a seven day effort to assist subject matter experts address a problem related to COVID-19. In the course of this effort, we analyzed the 29K documents provided as part of the White House's call to action. This involved applying a variety of natural language processing techniques and compression-based analytics in combination with visualization techniques and assessment with subject matter experts to pursue answers to a specific question. In this paper, we will describe the algorithms, the software, the study performed, and availability of the software developed during the effort.

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60 APPLIED LIFE SCIENCES97 MATHEMATICS AND COMPUTING

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Bandlow, Alisa, Bauer, Travis L., Crossno, Patricia J., Garcia, Rudy J., Astuto-Gribble, Lisa M, Hernandez, Patricia Marie, Martin, Shawn, McClain, Jonathan T., Patrizi, Laura. 2020-04-01. Rapid Response Data Science for COVID-19. https://doi.org/10.2172/1763559

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