Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT

Abstract Background Risk stratification of COVID-19 patients can support therapeutic decisions, planning and resource allocation in the hospital. In times of high incidence, a prognostic model based on data efficiently retrieved from one source can enable fast decision support. Methods A model was d...

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Autori principali:	Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Hichem Sahli, Nikos Deligiannis, Emma Verelst, Bart Ilsen, Simon Van Eyndhoven, Lucie Seyler, Arne Witdouck, Gilles Darcis, Julien Guiot, Athanasios Giannakis, Jef Vandemeulebroucke
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	BMC 2025-04-01
Serie:	BMC Medical Informatics and Decision Making
Soggetti:	COVID-19 Computed tomography Prognosis Disease severity Logistic regression
Accesso online:	https://doi.org/10.1186/s12911-025-02983-z
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