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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Detalles Bibliográficos
Autores principales: Ovcharenko, Evgeny, Kutikhin, Anton, Gruzdeva, Olga, Kuzmina, Anastasia, Slesareva, Tamara, Brusina, Elena, Kudasheva, Svetlana, Bondarenko, Tatiana, Kuzmenko, Svetlana, Osyaev, Nikolay, Ivannikova, Natalia, Vavin, Grigory, Moses, Vadim, Danilov, Viacheslav, Komossky, Egor, Klyshnikov, Kirill
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967447/
https://www.ncbi.nlm.nih.gov/pubmed/36826535
http://dx.doi.org/10.3390/jcdd10020039

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967447/
https://www.ncbi.nlm.nih.gov/pubmed/36826535
http://dx.doi.org/10.3390/jcdd10020039

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