Joloudari, J.H.; Hassannataj Joloudari, E.; Saadatfar, H.; Ghasemigol, M.; Razavi, S.M.; Mosavi, A.; Nabipour, N.; Shamshirband, S.; Nadai, L.
Coronary Artery Disease Diagnosis; Ranking the Significant Features Using a Random Trees Model. Int. J. Environ. Res. Public Health 2020, 17, 731.
https://doi.org/10.3390/ijerph17030731
AMA Style
Joloudari JH, Hassannataj Joloudari E, Saadatfar H, Ghasemigol M, Razavi SM, Mosavi A, Nabipour N, Shamshirband S, Nadai L.
Coronary Artery Disease Diagnosis; Ranking the Significant Features Using a Random Trees Model. International Journal of Environmental Research and Public Health. 2020; 17(3):731.
https://doi.org/10.3390/ijerph17030731
Chicago/Turabian Style
Joloudari, Javad Hassannataj, Edris Hassannataj Joloudari, Hamid Saadatfar, Mohammad Ghasemigol, Seyyed Mohammad Razavi, Amir Mosavi, Narjes Nabipour, Shahaboddin Shamshirband, and Laszlo Nadai.
2020. "Coronary Artery Disease Diagnosis; Ranking the Significant Features Using a Random Trees Model" International Journal of Environmental Research and Public Health 17, no. 3: 731.
https://doi.org/10.3390/ijerph17030731
APA Style
Joloudari, J. H., Hassannataj Joloudari, E., Saadatfar, H., Ghasemigol, M., Razavi, S. M., Mosavi, A., Nabipour, N., Shamshirband, S., & Nadai, L.
(2020). Coronary Artery Disease Diagnosis; Ranking the Significant Features Using a Random Trees Model. International Journal of Environmental Research and Public Health, 17(3), 731.
https://doi.org/10.3390/ijerph17030731