Visceral Adiposity and Severe COVID-19 Disease: Application of an Artificial Intelligence Algorithm to Improve Clinical Risk Prediction

Visceral Adiposity and Severe COVID-19 Disease: Application of an Artificial Intelligence Algorithm to Improve Clinical Risk Prediction

Background: Obesity has been linked to severe clinical outcomes among people who are hospitalized with coronavirus disease 2019 (COVID-19). We tested the hypothesis that visceral adipose tissue (VAT) is associated with severe outcomes in patients hospitalized with COVID-19, independent of body mass...

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Main Authors: Goehler, Alexander (Author), Hsu, Tzu Ming (Author), Seiglie, Jacqueline A (Author), Siedner, Mark J (Author), Lo, Janet (Author), Triant, Virginia (Author), Hsu, John (Author), Foulkes, Andrea (Author), Bassett, Ingrid (Author), Khorasani, Ramin (Author), Wexler, Deborah J (Author), Szolovits, Peter (Author), Meigs, James B (Author), Manne-Goehler, Jennifer (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Oxford University Press (OUP), 2021-07-20T16:00:28Z.
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