Development and Validation of an Explainable Machine Learning Model for Major Complications After Cytoreductive Surgery

IMPORTANCE: Cytoreductive surgery (CRS) is one of the most complex operations in surgical oncology with significant morbidity, and improved risk prediction tools are critically needed. Machine learning models can potentially overcome the limitations of traditional multiple logistic regression (MLR)...

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Detalles Bibliográficos
Autores principales: Deng, Huiyu, Eftekhari, Zahra, Carlin, Cameron, Veerapong, Jula, Fournier, Keith F., Johnston, Fabian M., Dineen, Sean P., Powers, Benjamin D., Hendrix, Ryan, Lambert, Laura A., Abbott, Daniel E., Vande Walle, Kara, Grotz, Travis E., Patel, Sameer H., Clarke, Callisia N., Staley, Charles A., Abdel-Misih, Sherif, Cloyd, Jordan M., Lee, Byrne, Fong, Yuman, Raoof, Mustafa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2022
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133947/
https://www.ncbi.nlm.nih.gov/pubmed/35612856
http://dx.doi.org/10.1001/jamanetworkopen.2022.12930

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133947/
https://www.ncbi.nlm.nih.gov/pubmed/35612856
http://dx.doi.org/10.1001/jamanetworkopen.2022.12930

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