Cardiovascular and Renal Comorbidities Included into Neural Networks Predict the Outcome in COVID-19 Patients Admitted to an Intensive Care Unit: Three-Center, Cross-Validation, Age- and Sex-Matched Study

Here, we performed a multicenter, age- and sex-matched study to compare the efficiency of various machine learning algorithms in the prediction of COVID-19 fatal outcomes and to develop sensitive, specific, and robust artificial intelligence tools for the prompt triage of patients with severe COVID-...

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Autores principales:	Evgeny Ovcharenko, Anton Kutikhin, Olga Gruzdeva, Anastasia Kuzmina, Tamara Slesareva, Elena Brusina, Svetlana Kudasheva, Tatiana Bondarenko, Svetlana Kuzmenko, Nikolay Osyaev, Natalia Ivannikova, Grigory Vavin, Vadim Moses, Viacheslav Danilov, Egor Komossky, Kirill Klyshnikov
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2023-01-01
Colección:	Journal of Cardiovascular Development and Disease
Materias:	COVID-19 machine learning neural networks prognostication coronary artery disease chronic kidney disease
Acceso en línea:	https://www.mdpi.com/2308-3425/10/2/39
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!