Harnessing Machine Learning for Prediction of Postoperative Pulmonary Complications: Retrospective Cohort Design

Postoperative pulmonary complications (PPCs) are significant causes of postoperative morbidity and mortality. This study presents the utilization of machine learning for predicting PPCs and aims to identify the important features of the prediction models. This study used a retrospective cohort desig...

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Detalles Bibliográficos
Autores principales: Kim, Jong-Ho, Cheon, Bo-Reum, Kim, Min-Guan, Hwang, Sung-Mi, Lim, So-Young, Lee, Jae-Jun, Kwon, Young-Suk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10488713/
https://www.ncbi.nlm.nih.gov/pubmed/37685748
http://dx.doi.org/10.3390/jcm12175681

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10488713/
https://www.ncbi.nlm.nih.gov/pubmed/37685748
http://dx.doi.org/10.3390/jcm12175681

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