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Predicting Peritoneal Metastasis of Gastric Cancer Patients Based on Machine Learning

OBJECTIVE: The aim is to explore the prediction effect of 5 machine learning algorithms on peritoneal metastasis of gastric cancer. METHODS: 1080 patients with postoperative gastric cancer were divided into a training group and test group according to the ratio of 7:3. The model of peritoneal metast...

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Detalles Bibliográficos
Autores principales:	Zhou, Chengmao, Wang, Ying, Ji, Mu-Huo, Tong, Jianhua, Yang, Jian-Jun, Xia, Hongping
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	SAGE Publications 2020
Materias:	Original Research Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791448/ https://www.ncbi.nlm.nih.gov/pubmed/33115287 http://dx.doi.org/10.1177/1073274820968900

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