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

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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Bibliographic Details
Main Authors: Sayma Alam Suha, Muhammad Nazrul Islam
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Heliyon
Subjects:
Polycystic ovary syndrome (PCOS)
Dominant features
Machine learning classification
Stacking ensemble technique
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023017255

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