A Machine Learning Approach for Non-Invasive PCOS Diagnosis from Ultrasound and Clinical Features
September 2025
in “
Scientific Reports
”
Studysummary This study found that using XGBoost with clinical and ultrasound features may provide a highly accurate, non-invasive method for diagnosing polycystic ovary syndrome, although further validation is needed to ensure robustness.
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