Article
Machine Learning for Optimal Individual Survival Prediction in Resectable Upper Gastrointestinal Cancer
2022-02-23
Abstract excerpt
<title>Abstract</title> <p><bold>Purpose</bold>Surgical oncologists are frequently confronted with the question of expected long-term prognosis. The aim of this study was to apply machine learning algorithms to optimize survival prediction after oncological resection of gastroesophageal cancers.<bold>Methods</bold>Eligible patients underwent oncological resection of gastric or distal esophageal cancer between 200...
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Identifiers and source
- Literature Corpus work
- cb6ef642-c9ed-59b2-b9fc-73c7c145b694
- DOI
- 10.21203/rs.3.rs-1318132/v1
