HIGHLIGHTS
- who: . and colleagues from the Yat-Sen University, China have published the article: Machine learning models for predicting one-year survival in patients with metastatic gastric cancer who experienced upfront radical gastrectomy, in the Journal: (JOURNAL)
- what: This study shows that the LDA, SVM, and RF models outperform other algorithms in predicting the survival of patients with metastatic GC. The models are confident to generalize well in the local population because they are unbiasedly evaluated by repeated CV; however, the case is uncertain in other situations due to lack of external validation.
- how . . .
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