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Machine learning-based prediction models for pressure injury: A systematic review and meta-analysis
Juhong Pei1, Xiaojing Guo2, Hongxia Tao1
1The First Clinical Medical College, School of Nursing, Lanzhou University, Lanzhou, China.
Machine learning (ML) models demonstrate excellent performance in predicting pressure injuries, achieving high accuracy. Further high-quality studies are needed to confirm their clinical value in preventing pressure injury development.
Area of Science:
- Medical Informatics
- Clinical Prediction Modeling
- Artificial Intelligence in Healthcare
Background:
- Machine learning (ML) algorithms are increasingly used for predictive modeling in healthcare.
- The performance of ML models for predicting pressure injury development requires systematic evaluation.
Conclusions:
- ML models exhibit outstanding performance in predicting pressure injury.
- The findings suggest significant potential for ML in pressure injury prevention.
- High-quality research is recommended to validate these results and confirm clinical utility.
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