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stroke-prediction

Here are 27 public repositories matching this topic...

Production-ready stroke risk assessment platform powered by Dense Stacking Ensemble (DSE) ML models. Achieves 95-97% accuracy with real-time predictions.

  • Updated Apr 1, 2026
  • Python

🚑 AI-powered Stroke Risk Prediction System built with Ensemble Learning (Random Forest, XGBoost, LightGBM, CatBoost, Gradient Boosting). Designed to assist early detection of stroke-prone individuals using interpretable ML insights — bridging data science and preventive healthcare.

  • Updated Jan 8, 2026
  • Python

Production-ready stroke prediction engine for pre-hospital triage, combining structure-aware clustering, interpretable ML models, and Azure-deployed containerized inference.

  • Updated Mar 9, 2026
  • Python

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