Hair Analysis Based on Medical History and Spatial-Temporal Data

    Ahmed Mahdi Abdulkadium, Raid Abd Alreda Shekan, Ali Abdulbaqi Abdulazeez
    Studysummary This study presents a machine learning algorithm that achieved 89.5% accuracy in predicting hair health using factors like spatial-temporal images, age, and gender.
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