Elmannai, H.; El-Rashidy, N.; Mashal, I.; Alohali, M.A.; Farag, S.; El-Sappagh, S.; Saleh, H.
Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence. Diagnostics 2023, 13, 1506.
https://doi.org/10.3390/diagnostics13081506
AMA Style
Elmannai H, El-Rashidy N, Mashal I, Alohali MA, Farag S, El-Sappagh S, Saleh H.
Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence. Diagnostics. 2023; 13(8):1506.
https://doi.org/10.3390/diagnostics13081506
Chicago/Turabian Style
Elmannai, Hela, Nora El-Rashidy, Ibrahim Mashal, Manal Abdullah Alohali, Sara Farag, Shaker El-Sappagh, and Hager Saleh.
2023. "Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence" Diagnostics 13, no. 8: 1506.
https://doi.org/10.3390/diagnostics13081506
APA Style
Elmannai, H., El-Rashidy, N., Mashal, I., Alohali, M. A., Farag, S., El-Sappagh, S., & Saleh, H.
(2023). Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence. Diagnostics, 13(8), 1506.
https://doi.org/10.3390/diagnostics13081506
