Establishment and validation of a prognostic risk classification for patients with stage T1-3N0M0 esophageal squamous cell carcinoma.

Yang-Yu HuangYan ZhengShen-Hua LiangLei-Lei WuXuan LiuWen-Qun XingYang-Yu Huang

Published in: Journal of cardiothoracic surgery (2023)

We combined the data of two large clinical centers, and comprehensively considered their valuable clinical factors and hematological indicators, established and verified a new prognostic risk classification that can predict CSS of stage T1-3N0M0 ESCC patients.

Keyphrases

end stage renal disease
machine learning
deep learning
chronic kidney disease
ejection fraction
newly diagnosed
prognostic factors
peritoneal dialysis
artificial intelligence
big data
data analysis