Early Prediction of Delirium in Postcardiac Surgery Patients: Machine Learning Model Development and External Validation
The XGB model with strong predictive capability for ICU delirium after cardiac surgery was developed and externally validated. This model offers essential technical support for building real-time delirium alert systems and enables ongoing risk stratification and evidence-based decision-making within the ICU environment.
Authors
- Yaohua Yu (ORCID: https://orcid.org/0009-0003-4746-8639)
- Huixiu Hu
- Houfeng Li
- Zhen Xing
- Long Liu
- Qinglai Zang
- Jinjing Wu
- Jing Huang
- Yuxiang Wang
- Ying Zhang
Institutions
- Wannan Medical College (CN)
- Fujian Medical University (CN)
- University of Shanghai for Science and Technology (CN)
- Hebei North University (CN)
- Second Military Medical University (CN)
- Shanghai Changzheng Hospital (CN)
- Changhai Hospital (CN)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2026-02-11
- DOI
- https://doi.org/10.2196/73283
- Primary Topic
- Intensive Care Unit Cognitive Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00