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Development and Validation of a Novel Machine Learning Model to Predict the Survival of Patients with Gastrointestinal Neuroendocrine Neoplasms.

Si LiuYun-Xiang ChenBing DaiLi Chen
Published in: Neuroendocrinology (2024)
The machine learning ORSF model could precisely predict the survival of patients with GINENs, with the ability to identify patients at high risk for death and probably guide clinical practice.
Keyphrases
  • machine learning
  • clinical practice
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • artificial intelligence
  • chronic kidney disease
  • prognostic factors
  • big data
  • deep learning
  • patient reported outcomes