APA (7th ed.) Citation

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 (2075-4418), 13(8), 1506. https://doi.org/10.3390/diagnostics13081506

Chicago Style (17th ed.) Citation

Elmannai, Hela, Nora El-Rashidy, Ibrahim Mashal, Manal Abdullah Alohali, Sara Farag, Shaker El-Sappagh, and Hager Saleh. "Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence." Diagnostics (2075-4418) 13, no. 8 (2023): 1506. https://doi.org/10.3390/diagnostics13081506.

MLA (9th ed.) Citation

Elmannai, Hela, et al. "Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence." Diagnostics (2075-4418), vol. 13, no. 8, 2023, p. 1506, https://doi.org/10.3390/diagnostics13081506.