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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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| Опубликовано в: : | Cancer Control |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
SAGE Publications
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7791448/ https://ncbi.nlm.nih.gov/pubmed/33115287 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1073274820968900 |
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