CNN-KNN Model for Assessing Hair Health in Telogen Effluvium
February 2025
Studysummary This study documented that a CNN-KNN hybrid model achieved 98% accuracy in predicting hair breakage levels due to Telogen Effluvium, highlighting its potential for enhancing diagnosis and treatment in clinical dermatology through early detection of hair-related conditions.
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