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...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2020-10-01
|
| Series: | Cancer Control |
| Online Access: | https://doi.org/10.1177/1073274820968900 |