Ontology highlight
ABSTRACT:
SUBMITTER: Venkatakrishnan AJ
PROVIDER: S-EPMC8316410 | biostudies-literature | 2021 Jul
REPOSITORIES: biostudies-literature
Venkatakrishnan A J AJ Pawlowski Colin C Zemmour David D Hughes Travis T Anand Akash A Berner Gabriela G Kayal Nikhil N Puranik Arjun A Conrad Ian I Bade Sairam S Barve Rakesh R Sinha Purushottam P O'Horo John C JC Badley Andrew D AD Halamka John J Soundararajan Venky V
NPJ digital medicine 20210727 1
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 models to characterize associations between 21 pre-existing conditions and the development of 20 complications (e.g. respiratory, cardiovascular, renal, and hematologic) of COVID-19 infection throughout the course ...[more]