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Predicting Overall Survival in Patients with Nonmetastatic Gastric Signet Ring Cell Carcinoma: A Machine Learning Approach.

Xiaomei LiZhiwei ChenJing LinShouan WangConghua Song
Published in: Computational and mathematical methods in medicine (2022)
The XGBoost-based model accurately predicts the 1-, 3-, and 5-year OS in patients with nonmetastatic GSRC. Machine learning is a promising way to predict the survival outcomes of tumor patients.
Keyphrases
  • machine learning
  • end stage renal disease
  • ejection fraction
  • chronic kidney disease
  • artificial intelligence
  • peritoneal dialysis
  • deep learning
  • patient reported outcomes
  • free survival