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Author

Fengjuan Zhang

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Review Open access Aug 2026

Prediction of carotid vulnerable plaques in patients with type 2 diabetes using interpretable machine learning models

Objective To develop and externally validate an interpretable machine-learning framework for estimating ultrasound-defined carotid plaque vulnerability among patients with type 2 diabetes mellitus (T2DM) and established carotid plaque. Methods In total, 884 T2DM patients with carotid atherosclerotic plaques from two me...

Qi Cheng, Fengjuan Zhang, Han Wang et al. · 0 citations

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