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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מידע ביבליוגרפי

Principais autores:	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
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	BMC 2025-04-01
סדרה:	BMC Medical Informatics and Decision Making
נושאים:	COVID-19 Computed tomography Prognosis Disease severity Logistic regression
גישה מקוונת:	https://doi.org/10.1186/s12911-025-02983-z
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!