Machine learning approach for predicting inhalation injury in patients with burns

BACKGROUND: The coronavirus disease pandemic has had a tangible impact on bronchoscopy for burn inpatients due to isolation and triage measures. We utilised the machine-learning approach to identify risk factors for predicting mild and severe inhalation injury and whether patients with burns experie...

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Detalles Bibliográficos
Autores principales: Yang, Shih-Yi, Huang, Chih-Jung, Yen, Cheng-I., Kao, Yu-Ching, Hsiao, Yen-Chang, Yang, Jui-Yung, Chang, Shu-Yin, Chuang, Shiow-Shuh, Chen, Hung-Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd and ISBI. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10032063/
https://www.ncbi.nlm.nih.gov/pubmed/37055284
http://dx.doi.org/10.1016/j.burns.2023.03.011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10032063/
https://www.ncbi.nlm.nih.gov/pubmed/37055284
http://dx.doi.org/10.1016/j.burns.2023.03.011

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