Severity Prediction of Hair Loss in Alopecia Areata With Hybrid Deep Learning Architecture

    August 2025
    Deepak Banerjee, Sridhar Ramasamy, Rashi Nimesh Kumar Dhenia … Manish Kumar Singla
    Studysummary In this study, researchers developed a deep learning model that efficiently classifies five degrees of harm with high accuracy, achieving up to 98% precision, recall, and F1-score across various harm levels, indicating strong potential for practical application in automated harm evaluation.
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    Research cited in this study 8

    1. Beyond Hair Loss: Exploring the Evolution of Androgenetic Alopecia Research Based on Text Mining and Bibliometrics Journal of Education For Sustainable Innovation · 2024
    2. Enhanced Hair Disease Classification Using Deep Learning 2024
    3. Classification and Identification of Male Hair Loss based on Deep Learning 2024
    4. Ensemble of Pre-Learned Deep Learning Model and an Optimized LSTM for Alopecia Areata Classification Journal of Intelligent & Fuzzy Systems · 2023
    5. Prediction of Alopecia Areata Using CNN 2023
    6. FRCNN Based Deep Learning for Identification and Classification of Alopecia Areata 2023
    7. Deep Review on Alopecia Areata Diagnosis for Hair Loss-Related Autoimmune Disorder International Journal of Applied Pharmaceutics · 2022
    8. Classification Framework for Healthy Hair and Alopecia Areata: A Machine Learning Approach Computational and Mathematical Methods in Medicine · 2021