We value Cummins et al.’s study on an XGBoost model for in-hospital mortality prediction in intensive care unit(ICU)patients with acute ischemic stroke(AIS)[1].Its focus on model fairness across demographics and in-d...We value Cummins et al.’s study on an XGBoost model for in-hospital mortality prediction in intensive care unit(ICU)patients with acute ischemic stroke(AIS)[1].Its focus on model fairness across demographics and in-depth feature analysis gives useful references for clinical predictive analytics.To boost the model’s reproducibility,we suggest clarifying specific inclusion criteria and data preprocessing methods for the electronic ICU(eICU)database in future external validation.展开更多
文摘We value Cummins et al.’s study on an XGBoost model for in-hospital mortality prediction in intensive care unit(ICU)patients with acute ischemic stroke(AIS)[1].Its focus on model fairness across demographics and in-depth feature analysis gives useful references for clinical predictive analytics.To boost the model’s reproducibility,we suggest clarifying specific inclusion criteria and data preprocessing methods for the electronic ICU(eICU)database in future external validation.
