Exploring the dominant features and data-driven detection of polycystic ovary syndrome through modified stacking ensemble machine learning technique

Polycystic ovary syndrome (PCOS) is the most frequent endocrinological anomaly in reproductive women that causes persistent hormonal secretion disruption, leading to the formation of numerous cysts within the ovaries and serious health complications. But the real-world clinical detection technique f...

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Bibliografische Detailangaben

Hauptverfasser:	Sayma Alam Suha, Muhammad Nazrul Islam
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2023-03-01
Schriftenreihe:	Heliyon
Schlagworte:	Polycystic ovary syndrome (PCOS) Dominant features Machine learning classification Stacking ensemble technique
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2405844023017255
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