Development and validation of self-monitoring auto-updating prognostic models of survival for hospitalized COVID-19 patients

Development and validation of self-monitoring auto-updating prognostic models of survival for hospitalized COVID-19 patients

Despite rapid and significant changes during the pandemic, prognostic models for COVID-19 patients do not currently account for data drifts. Here, the authors develop a framework for continuously monitoring and updating prognostic models and applied it to predict 28-day survival in COVID-19 patients...

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Bibliographic Details
Main Authors: Todd J. Levy, Kevin Coppa, Jinxuan Cang, Douglas P. Barnaby, Marc D. Paradis, Stuart L. Cohen, Alex Makhnevich, David van Klaveren, David M. Kent, Karina W. Davidson, Jamie S. Hirsch, Theodoros P. Zanos
Format: Article
Language:English
Published: Nature Portfolio 2022-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-34646-2

Internet

https://doi.org/10.1038/s41467-022-34646-2

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