Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence

Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence

Polycystic ovary syndrome (PCOS) has been classified as a severe health problem common among women globally. Early detection and treatment of PCOS reduce the possibility of long-term complications, such as increasing the chances of developing type 2 diabetes and gestational diabetes. Therefore, effe...

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Bibliographic Details
Main Authors: Hela Elmannai, Nora El-Rashidy, Ibrahim Mashal, Manal Abdullah Alohali, Sara Farag, Shaker El-Sappagh, Hager Saleh
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Diagnostics
Subjects:
polycystic ovary syndrome
machine learning
explainable machine learning
ensemble learning
Online Access:https://www.mdpi.com/2075-4418/13/8/1506

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