Prediction of septic and hypovolemic shock in intensive care unit patients using machine learning

OBJECTIVE: To create and validate a model for predicting septic or hypovolemic shock from easily obtainable variables collected from patients at admission to an intensive care unit. METHODS: A predictive modeling study with concurrent cohort data was conducted in a hospital in the interior of northe...

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Detalles Bibliográficos
Autores principales: Pessoa, Stela Mares Brasileiro, Oliveira, Bianca Silva de Sousa, dos Santos, Wendy Gomes, Oliveira, Augusto Novais Macedo, Camargo, Marianne Silveira, de Matos, Douglas Leandro Aparecido Barbosa, Silva, Miquéias Martins Lima, Medeiros, Carolina Cintra de Queiroz, Coelho, Cláudia Soares de Sousa, Andrade Neto, José de Souza, Mistro, Sóstenes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Associação de Medicina Intensiva Brasileira - AMIB 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986996/
https://www.ncbi.nlm.nih.gov/pubmed/36888828
http://dx.doi.org/10.5935/0103-507X.20220280-en

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986996/
https://www.ncbi.nlm.nih.gov/pubmed/36888828
http://dx.doi.org/10.5935/0103-507X.20220280-en

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