Kigka, V.I.; Georga, E.; Tsakanikas, V.; Kyriakidis, S.; Tsompou, P.; Siogkas, P.; Michalis, L.K.; Naka, K.K.; Neglia, D.; Rocchiccioli, S.;
et al. Machine Learning Coronary Artery Disease Prediction Based on Imaging and Non-Imaging Data. Diagnostics 2022, 12, 1466.
https://doi.org/10.3390/diagnostics12061466
AMA Style
Kigka VI, Georga E, Tsakanikas V, Kyriakidis S, Tsompou P, Siogkas P, Michalis LK, Naka KK, Neglia D, Rocchiccioli S,
et al. Machine Learning Coronary Artery Disease Prediction Based on Imaging and Non-Imaging Data. Diagnostics. 2022; 12(6):1466.
https://doi.org/10.3390/diagnostics12061466
Chicago/Turabian Style
Kigka, Vassiliki I., Eleni Georga, Vassilis Tsakanikas, Savvas Kyriakidis, Panagiota Tsompou, Panagiotis Siogkas, Lampros K. Michalis, Katerina K. Naka, Danilo Neglia, Silvia Rocchiccioli,
and et al. 2022. "Machine Learning Coronary Artery Disease Prediction Based on Imaging and Non-Imaging Data" Diagnostics 12, no. 6: 1466.
https://doi.org/10.3390/diagnostics12061466
APA Style
Kigka, V. I., Georga, E., Tsakanikas, V., Kyriakidis, S., Tsompou, P., Siogkas, P., Michalis, L. K., Naka, K. K., Neglia, D., Rocchiccioli, S., Pelosi, G., Fotiadis, D. I., & Sakellarios, A.
(2022). Machine Learning Coronary Artery Disease Prediction Based on Imaging and Non-Imaging Data. Diagnostics, 12(6), 1466.
https://doi.org/10.3390/diagnostics12061466