Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models

Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models

Abstract Background Many models are published which predict outcomes in hospitalized COVID-19 patients. The generalizability of many is unknown. We evaluated the performance of selected models from the literature and our own models to predict outcomes in patients at our institution. Methods We searc...

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Bibliographic Details
Main Authors: William Galanter, Jorge Mario Rodríguez-Fernández, Kevin Chow, Samuel Harford, Karl M. Kochendorfer, Maryam Pishgar, Julian Theis, John Zulueta, Houshang Darabi
Format: Article
Language:English
Published: BMC 2021-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Mortality
Hospitalization
COVID-19
Statistical model
Prediction
Model generalizability
Online Access:https://doi.org/10.1186/s12911-021-01576-w

Internet

https://doi.org/10.1186/s12911-021-01576-w

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