Optimized Polycystic Ovarian Disease Prognosis and Classification Using AI-Based Computational Approaches on Multi-Modality Data

    October 2024 in “ BMC Medical Informatics and Decision Making ”
    Kogilavani Shanmugavadivel, Murali Dhar M S, T R Mahesh … Temesgen Engida Yimer
    Studysummary This study used machine learning models to analyze PCOS symptoms for early diagnosis, finding Support Vector Machine and VGG16 algorithms achieved high accuracy rates of 94.44% and 98.29% respectively.
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    Research cited in this study 1

    1. Metabolic and Hormonal Effects of a Combined Myo-Inositol and D-Chiro-Inositol Therapy on Patients with Polycystic Ovary Syndrome Ginekologia Polska · 2019