Interpretable prediction of cardiopulmonary complications after non-small cell lung cancer surgery based on machine learning and SHapley additive exPlanations

INTRODUCTION: Lung cancer is a prevalent malignancy globally, with approximately 20% of patients developing cardiopulmonary complications after lobectomy. In order to prevent complications, an accurate and personalized method based on machine learning (ML) is required. METHODS: During the period of...

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Detalles Bibliográficos
Autores principales: Zhai, Yihai, Lin, Xue, Wei, Qiaolin, Pu, Yuanjin, Pang, Yonghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359813/
https://www.ncbi.nlm.nih.gov/pubmed/37483738
http://dx.doi.org/10.1016/j.heliyon.2023.e17772

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359813/
https://www.ncbi.nlm.nih.gov/pubmed/37483738
http://dx.doi.org/10.1016/j.heliyon.2023.e17772

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