Predictive Value of Machine Learning for Poststroke Mortality Risk: Systematic Review and Meta-Analysis - PubMed
3 hours ago
- #Prediction Models
- #Machine Learning
- #Stroke Mortality
- Machine learning models predict stroke mortality with pooled C-indexes of 0.727 for in-hospital and 0.847 for out-of-hospital mortality in external validations.
- ML's predictive performance supports its role as an auxiliary tool for identifying high-risk populations, optimizing clinical monitoring and resource allocation.
- Substantial heterogeneity and high risk of bias in studies call for caution in real-world application and recommend external validation before broader implementation.