Construction of a nomogram for predicting COVID-19 in-hospital mortality: A machine learning analysis

BACKGROUND AND OBJECTIVES: We aim to verify the use of ML algorithms to predict patient outcome using a relatively small dataset and to create a nomogram to assess in-hospital mortality of patients with COVID-19. METHODS: A database of 200 COVID-19 patients admitted to the Clinical Hospital of State...

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Detalles Bibliográficos
Autores principales: Padilha, Daniela M.H., Garcia, Gabriel R., Liveraro, Gianni S.S., Mendes, Maria C.S., Takahashi, Maria E.S., Lascala, Fabiana, Silveira, Marina N., Pozzuto, Lara, Carrilho, Larissa A.O., Guerra, Lívia D., Moreira, Rafaella C.L., Branbilla, Sandra R., Dertkigil, Sérgio S.J., Takahashi, Jun, Carvalheira, José B.C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715454/
https://www.ncbi.nlm.nih.gov/pubmed/36474601
http://dx.doi.org/10.1016/j.imu.2022.101138

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715454/
https://www.ncbi.nlm.nih.gov/pubmed/36474601
http://dx.doi.org/10.1016/j.imu.2022.101138

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