Application of Machine Learning for Predicting Anastomotic Leakage in Patients with Gastric Adenocarcinoma Who Received Total or Proximal Gastrectomy

Anastomotic leakage is a life-threatening complication in patients with gastric adenocarcinoma who received total or proximal gastrectomy, and there is still no model accurately predicting anastomotic leakage. In this study, we aim to develop a high-performance machine learning tool to predict anast...

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Detalles Bibliográficos
Autores principales: Shao, Shengli, Liu, Lu, Zhao, Yufeng, Mu, Lei, Lu, Qiyi, Qin, Jichao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400241/
https://www.ncbi.nlm.nih.gov/pubmed/34442391
http://dx.doi.org/10.3390/jpm11080748

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400241/
https://www.ncbi.nlm.nih.gov/pubmed/34442391
http://dx.doi.org/10.3390/jpm11080748

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