APA (7th ed.) Citation

Li, X., Zhang, J., & Safara, F. (2023). Improving the Accuracy of Diabetes Diagnosis Applications through a Hybrid Feature Selection Algorithm. Neural processing letters, 55(1), 153-169. https://doi.org/10.1007/s11063-021-10491-0

Chicago Style (17th ed.) Citation

Li, Xiaohua, Jusheng Zhang, and Fatemeh Safara. "Improving the Accuracy of Diabetes Diagnosis Applications Through a Hybrid Feature Selection Algorithm." Neural Processing Letters 55, no. 1 (2023): 153-169. https://doi.org/10.1007/s11063-021-10491-0.

MLA (9th ed.) Citation

Li, Xiaohua, et al. "Improving the Accuracy of Diabetes Diagnosis Applications Through a Hybrid Feature Selection Algorithm." Neural Processing Letters, vol. 55, no. 1, 2023, pp. 153-169, https://doi.org/10.1007/s11063-021-10491-0.