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

Internet

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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