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Risk factor analysis of device-related infections: value of re-sampling method on the real-world imbalanced dataset.

Xiang-Fei FengLing-Chao YangLi-Zhuang TanYi-Gang Li
Published in: BMC medical informatics and decision making (2019)
The application of re-sampling techniques can generate useful synthetic samples for the classification of imbalanced data and improve the accuracy of predicting efficacy of CIEDI. The peri-operative assessment should be intensified in male and aged patients as well as patients receiving replacement procedures for the risk of CIEDI.
Keyphrases
  • end stage renal disease
  • ejection fraction
  • chronic kidney disease
  • newly diagnosed
  • risk factors
  • machine learning
  • deep learning
  • peritoneal dialysis
  • artificial intelligence
  • data analysis