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- Title
A prediction model for moderate to severe acute kidney injury in people with heart failure.
- Authors
Yang, Yu-Qi; Da, Jing-Jing; Nie, Sheng; Yuan, Jing; Liu, Bi-Cheng; Liu, Hua-Feng; Yang, Qiong-Qiong; Li, Hua; Xu, Gang; Weng, Jian-Ping; Kong, Yao-Zhong; Wan, Qi-Jun; Li, Gui-Sen; Chen, Chun-Bo; Xu, Hong; Hu, Ying; Shi, Yong-Jun; Zhou, Yi-Lun; Su, Guo-Bin; Tang, Ying
- Abstract
The article introduces a novel machine learning-based prediction model for identifying moderate to severe acute kidney injury (AKI) in heart failure patients. Topics discussed include the development and validation of the model using XGBoost, its performance compared to other models, and the importance of feature selection for prediction accuracy.
- Subjects
HEART failure; ACUTE kidney failure; PREDICTION models; HEART injuries; MACHINE learning
- Publication
Military Medical Research, 2024, Vol 11, p1
- ISSN
2095-7467
- Publication type
Letter
- DOI
10.1186/s40779-024-00558-z