APA (7th ed.) Citation

Nassar, M. O. (2026). Privacy-Preserving, Multi-Objective Whale-Bat Optimized XGBoost for Early Diagnosis of Insulin Resistance in Non-Diabetic Women: Development and Validation Using NHANES 2007–2020. Journal of Intelligent & Fuzzy Systems, 50(7), 2017. https://doi.org/10.1177/18758967251395614

Chicago Style (17th ed.) Citation

Nassar, Mohammad Othman. "Privacy-Preserving, Multi-Objective Whale-Bat Optimized XGBoost for Early Diagnosis of Insulin Resistance in Non-Diabetic Women: Development and Validation Using NHANES 2007–2020." Journal of Intelligent & Fuzzy Systems 50, no. 7 (2026): 2017. https://doi.org/10.1177/18758967251395614.

MLA (9th ed.) Citation

Nassar, Mohammad Othman. "Privacy-Preserving, Multi-Objective Whale-Bat Optimized XGBoost for Early Diagnosis of Insulin Resistance in Non-Diabetic Women: Development and Validation Using NHANES 2007–2020." Journal of Intelligent & Fuzzy Systems, vol. 50, no. 7, 2026, p. 2017, https://doi.org/10.1177/18758967251395614.