Prediction model of early postoperative delirium risk based on machine learning algorithm in patients undergoing cardiac surgery
Objective To develop an early postoperative delirium (POD) risk prediction model in patients undergoing cardiac surgery based on Extreme Gradient Boosting (XGBoost) and compare its prediction performance with that of a traditional logistic regression (LR) model in order to provide reference for ear...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Army Medical University
2023-04-01
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| Series: | 陆军军医大学学报 |
| Subjects: | |
| Online Access: | http://aammt.tmmu.edu.cn/html/202301050.htm |