Optimizing Stroke Recognition with MediaPipe and Machine Learning: An Explainable AI Approach for Facial Landmark Analysis
IEEE Access · Q1 Journal · March 12, 2025
IEEE Access (Q1) first-author paper: explainable ML for stroke recognition from MediaPipe facial landmarks, with SHAP-based clinical explanations.
Authors
Karim, R. U., et al. — First author
Contribution
Detects stroke from facial landmarks using MediaPipe and machine learning, with SHAP-based explanations so clinicians can see why each prediction is made.
Topics
Cite
Karim, R. U., et al. (2025). Optimizing Stroke Recognition with MediaPipe and Machine Learning: An Explainable AI Approach for Facial Landmark Analysis. IEEE Access. https://doi.org/10.1109/ACCESS.2025.3550577