The use of distributed random forest model to quantify risk predictors for tracheostomy requirements in septic patients: A retrospective cohort study

The search for early clinical risk factors in the intensive care setting may improve the outcome of critically ill patients. The objective of this retrospective study is to identify and quantify early predictors for patients who would require tracheostomy. Five hundred and forty four septic patients...

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Detalles Bibliográficos
Autores principales: Rodrigues, Lorena Aparecida de Brito, Lago, Alessandra Fabiane, Menegueti, Mayra Gonçalves, Farias, Viviane Aparecida, Auxiliadora-Martins, Maria, Ferez, Marcus Antonio, Martinez, Edson Zangiacomi, Basile-Filho, Anibal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
3900
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360240/
https://www.ncbi.nlm.nih.gov/pubmed/32664069
http://dx.doi.org/10.1097/MD.0000000000020757

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7360240/
https://www.ncbi.nlm.nih.gov/pubmed/32664069
http://dx.doi.org/10.1097/MD.0000000000020757

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