Login / Signup

Prediction Model of Anastomotic Leakage Among Esophageal Cancer Patients After Receiving an Esophagectomy: Machine Learning Approach.

Ziran ZhaoXi ChengXiao SunShanrui MaHao FengLiang Zhao
Published in: JMIR medical informatics (2021)
Our model offered a prediction of AL with high accuracy, assisting in AL prevention and treatment. A personalized ML prediction model with a purely data-driven selection of features is feasible and effective in predicting AL in patients who underwent esophagectomy.
Keyphrases
  • ejection fraction
  • machine learning
  • end stage renal disease
  • chronic kidney disease
  • newly diagnosed
  • peritoneal dialysis
  • prognostic factors