Mapping each pre-existing condition’s association to short-term and long-term COVID-19 complications

Mapping each pre-existing condition’s association to short-term and long-term COVID-19 complications

Abstract Understanding the relationships between pre-existing conditions and complications of COVID-19 infection is critical to identifying which patients will develop severe disease. Here, we leverage ~1.1 million clinical notes from 1803 hospitalized COVID-19 patients and deep neural network model...

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Autores principales: A. J. Venkatakrishnan, Colin Pawlowski, David Zemmour, Travis Hughes, Akash Anand, Gabriela Berner, Nikhil Kayal, Arjun Puranik, Ian Conrad, Sairam Bade, Rakesh Barve, Purushottam Sinha, John C. O‘Horo, Andrew D. Badley, John Halamka, Venky Soundararajan
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Computer applications to medicine. Medical informatics
R858-859.7
Acceso en línea:https://doaj.org/article/5d3be4022eee45a2a9e665e11457f771
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