A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment

    Marco Di Fraia, Lorenzo Tieghi, Francesca Magri, Gemma Caro, Simone Michelini, Giovanni Pellacani, Alfredo Rossi
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    Studysummary This study developed a support vector machine model using trichoscopic patterns to accurately classify androgenic alopecia severity, with an accuracy of 94.3% in training and 90.0% in test datasets.
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