Machine learning for infection risk prediction in postoperative patients with non-mechanical ventilation and intravenous neurotargeted drugs

Drug efficacy can be improved by understanding the effects of anesthesia on the neurovascular system. In this study, we used machine learning algorithms to predict the risk of infection in postoperative intensive care unit (ICU) patients who are on non-mechanical ventilation and are receiving hydrom...

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Detalles Bibliográficos
Autores principales: Du, Yi, Shi, Haipeng, Yang, Xiaojing, Wu, Weidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376287/
https://www.ncbi.nlm.nih.gov/pubmed/35979059
http://dx.doi.org/10.3389/fneur.2022.942023

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376287/
https://www.ncbi.nlm.nih.gov/pubmed/35979059
http://dx.doi.org/10.3389/fneur.2022.942023

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