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Twenty-eight-day in-hospital mortality prediction for elderly patients with ischemic stroke in the intensive care unit: Interpretable machine learning models
15
Zitationen
11
Autoren
2023
Jahr
Abstract
The xgboost model shows the best predictive performance that predicts mortality in elderly patients with IS in the ICU. By making the ML model explainable, physicians would be able to understand better the reasoning behind the outcome.
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Autoren
Institutionen
- Central South University(CN)
- Guangxi University of Chinese Medicine(CN)
- Second Xiangya Hospital of Central South University(CN)
- The First People's Hospital of Changde(CN)
- Chongqing Medical University(CN)
- Xuzhou Medical College(CN)
- Dalian Medical University(CN)
- Second Affiliated Hospital of Chongqing Medical University(CN)
- Army Medical University(CN)
- Hangzhou Dianzi University(CN)
- Southwest Hospital(CN)