Enabling Longitudinal Exploratory Analysis of Clinical COVID Data

As the COVID-19 pandemic continues to impact the world, data is being gathered and analyzed to better understand the disease. Recognizing the potential for visual analytics technologies to support exploratory analysis and hypothesis generation from longitudinal clinical data, a team of collaborators...

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Vydané v:	2021 IEEE Workshop on Visual Analytics in Healthcare (VAHC) s. 19 - 24
Hlavní autori:	Borland, David, Brain, Irena, Fecho, Karamarie, Pfaff, Emily, Xu, Hao, Champion, James, Bizon, Chris, Gotz, David
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.01.2021 Cornell University
Predmet:	Collaboration Conferences COVID-19 Data visualization Human-centered computing [Visualization]: Visualization application domains-Visual analytics Human-centered computing [Visualization]: Visualization systems and tools human-computer interaction medical informatics Medical services Pandemics temporal event sequence visualization Visual analytics
ISSN:	2331-8422, 2331-8422
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