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A web application implementing models to predict ICU admission for COVID-19 patients based on clinical, laboratory and imaging parameters

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covidapp: predict probability of admission to ICU for patients with COVID-19

This app calculates the probability of admission to ICU for COVID-19 patients based on three models exploiting blood laboratory-arterial gas analyses, radiological and radiomics parameters.

Run the web application

To run the web application, first install the Shiny R package using

install.packages("shiny")

then, you can launch the Shiny web application using

shiny::runGitHub("cgplab/covidapp", ref = "main")

Citation

The manuscript describing the study and the models is currently under revision. The preprint is available at https://www.medrxiv.org/content/10.1101/2021.01.08.20249041v1.

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A web application implementing models to predict ICU admission for COVID-19 patients based on clinical, laboratory and imaging parameters

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