Machine learning for predicting successful extubation in patients receiving mechanical ventilation

Ventilator liberation is one of the most critical decisions in the intensive care unit; however, prediction of extubation failure is difficult, and the proportion thereof remains high. Machine learning can potentially provide a breakthrough in the prediction of extubation success. A total of seven s...

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Detalles Bibliográficos
Autores principales: Igarashi, Yutaka, Ogawa, Kei, Nishimura, Kan, Osawa, Shuichiro, Ohwada, Hayato, Yokobori, Shoji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403066/
https://www.ncbi.nlm.nih.gov/pubmed/36035403
http://dx.doi.org/10.3389/fmed.2022.961252

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403066/
https://www.ncbi.nlm.nih.gov/pubmed/36035403
http://dx.doi.org/10.3389/fmed.2022.961252

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