Prediction Model of Anastomotic Leakage Among Esophageal Cancer Patients After Receiving an Esophagectomy: Machine Learning Approach

BACKGROUND: Anastomotic leakage (AL) is one of the severe postoperative adverse events (5%-30%), and it is related to increased medical costs in cancer patients who undergo esophagectomies. Machine learning (ML) methods show good performance at predicting risk for AL. However, AL risk prediction bas...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Ziran, Cheng, Xi, Sun, Xiao, Ma, Shanrui, Feng, Hao, Zhao, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8367102/
https://www.ncbi.nlm.nih.gov/pubmed/34313597
http://dx.doi.org/10.2196/27110

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8367102/
https://www.ncbi.nlm.nih.gov/pubmed/34313597
http://dx.doi.org/10.2196/27110

Ejemplares similares