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What is Stroke Prediction: ML vs DL Models about?

This study compares the efficacy of deep learning (DL) and machine learning (ML) models in predicting strokes using a dataset of 663 patient records from a Tehran hospital. The results indicate that while the Random Forest (RF) model outperformed all others in key metrics, DL models generally showed superior performance compared to ML models, highlighting the potential for combining these technologies for early stroke detection. The study emphasizes the importance of timely stroke recognition to improve pat

Author

mohammad reza

Language

EN