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A decision tree model to help treatment decision-making for severe spontaneous intracerebral hemorrhage.

Kaiwen WangQingyuan LiuShaohua MoKaige ZhengXiong LiJiangan LiShanwen ChenXianzeng TongYong CaoZhi LiJun WuShuo Wang
Published in: International journal of surgery (London, England) (2023)
This study provided a DT model for predicting the poor outcome of SSICH patients post-surgically, which may serve as a useful tool assisting clinicians in treatment decision-making for SSICH.
Keyphrases
  • decision making
  • end stage renal disease
  • newly diagnosed
  • chronic kidney disease
  • prognostic factors
  • patient reported