Analysis of Key Features in PCOS Diagnosis Using Random Forest and XGBoost with SMOTE and SHAP
Polycystic Ovary Syndrome (PCOS) is a hormonal disorder in women of reproductive age characterized by irregular cycles, hyperandrogenism, and polycystic ovarian morphology. Diagnosis is challenging because symptoms overlap with other endocrine disorders. This study proposes an interpretable machi...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Universitas Sanata Dharma
2026-06-01
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| Serie: | International Journal of Applied Sciences and Smart Technologies |
| Soggetti: | |
| Accesso online: | https://ejournal.usd.ac.id/index.php/ijasst/article/view/754 |
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