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Dealing With Missing, Imbalanced, and Sparse Features During the Development of a Prediction Model for Sudden Death Using Emergency Medicine Data: Machine Learning Approach.

Xiaojie ChenHan ChenShan NanXiangtian KongHuilong DuanHaiyan Zhu
Published in: JMIR medical informatics (2023)
The proposed systematic approach is valid for building a prediction model for emergency patients.
Keyphrases
  • machine learning
  • emergency medicine
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • emergency department
  • big data
  • healthcare
  • peritoneal dialysis
  • patient reported
  • neural network