Golany, T.; Radinsky, K.; Kofman, N.; Litovchik, I.; Young, R.; Monayer, A.; Love, I.; Tziporin, F.; Minha, I.; Yehuda, Y.;
et al. Physicians and Machine-Learning Algorithm Performance in Predicting Left-Ventricular Systolic Dysfunction from a Standard 12-Lead-Electrocardiogram. J. Clin. Med. 2022, 11, 6767.
https://doi.org/10.3390/jcm11226767
AMA Style
Golany T, Radinsky K, Kofman N, Litovchik I, Young R, Monayer A, Love I, Tziporin F, Minha I, Yehuda Y,
et al. Physicians and Machine-Learning Algorithm Performance in Predicting Left-Ventricular Systolic Dysfunction from a Standard 12-Lead-Electrocardiogram. Journal of Clinical Medicine. 2022; 11(22):6767.
https://doi.org/10.3390/jcm11226767
Chicago/Turabian Style
Golany, Tomer, Kira Radinsky, Natalia Kofman, Ilya Litovchik, Revital Young, Antoinette Monayer, Itamar Love, Faina Tziporin, Ido Minha, Yakir Yehuda,
and et al. 2022. "Physicians and Machine-Learning Algorithm Performance in Predicting Left-Ventricular Systolic Dysfunction from a Standard 12-Lead-Electrocardiogram" Journal of Clinical Medicine 11, no. 22: 6767.
https://doi.org/10.3390/jcm11226767
APA Style
Golany, T., Radinsky, K., Kofman, N., Litovchik, I., Young, R., Monayer, A., Love, I., Tziporin, F., Minha, I., Yehuda, Y., Ziv-Baran, T., Fuchs, S., & Minha, S.
(2022). Physicians and Machine-Learning Algorithm Performance in Predicting Left-Ventricular Systolic Dysfunction from a Standard 12-Lead-Electrocardiogram. Journal of Clinical Medicine, 11(22), 6767.
https://doi.org/10.3390/jcm11226767