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Using machine learning to predict stroke-associated pneumonia in Chinese acute ischaemic stroke patients.

X LiM WuC SunZ ZhaoF WangX ZhengW GeJunshan ZhouXiaoMing Dai
Published in: European journal of neurology (2020)
Our study demonstrated that the XGBoost model with six common variables can predict SAP in Chinese AIS patients more optimally than ISAN and PNA scores.
Keyphrases
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • intensive care unit
  • drug induced
  • subarachnoid hemorrhage