Article Versions Notes

Mamun MA, Misti JM, Hasan ME, Al-Mamun F, ALmerab MM, Islam J, Muhit M, Gozal D. Feature Contributions and Predictive Accuracy in Modeling Adolescent Daytime Sleepiness Using Machine Learning: The MeLiSA Study. Brain Sciences. 2024; 14(10):1015. https://doi.org/10.3390/brainsci14101015

Mamun, Mohammed A., Jannatul Mawa Misti, Md Emran Hasan, Firoj Al-Mamun, Moneerah Mohammad ALmerab, Johurul Islam, Mohammad Muhit, and David Gozal. 2024. "Feature Contributions and Predictive Accuracy in Modeling Adolescent Daytime Sleepiness Using Machine Learning: The MeLiSA Study" Brain Sciences 14, no. 10: 1015. https://doi.org/10.3390/brainsci14101015

Mamun, M. A., Misti, J. M., Hasan, M. E., Al-Mamun, F., ALmerab, M. M., Islam, J., Muhit, M., & Gozal, D. (2024). Feature Contributions and Predictive Accuracy in Modeling Adolescent Daytime Sleepiness Using Machine Learning: The MeLiSA Study. Brain Sciences, 14(10), 1015. https://doi.org/10.3390/brainsci14101015