Doldi, F.; Plagwitz, L.; Hoffmann, L.P.; Rath, B.; Frommeyer, G.; Reinke, F.; Leitz, P.; Büscher, A.; Güner, F.; Brix, T.;
et al. Detection of Patients with Congenital and Often Concealed Long-QT Syndrome by Novel Deep Learning Models. J. Pers. Med. 2022, 12, 1135.
https://doi.org/10.3390/jpm12071135
AMA Style
Doldi F, Plagwitz L, Hoffmann LP, Rath B, Frommeyer G, Reinke F, Leitz P, Büscher A, Güner F, Brix T,
et al. Detection of Patients with Congenital and Often Concealed Long-QT Syndrome by Novel Deep Learning Models. Journal of Personalized Medicine. 2022; 12(7):1135.
https://doi.org/10.3390/jpm12071135
Chicago/Turabian Style
Doldi, Florian, Lucas Plagwitz, Lea Philine Hoffmann, Benjamin Rath, Gerrit Frommeyer, Florian Reinke, Patrick Leitz, Antonius Büscher, Fatih Güner, Tobias Brix,
and et al. 2022. "Detection of Patients with Congenital and Often Concealed Long-QT Syndrome by Novel Deep Learning Models" Journal of Personalized Medicine 12, no. 7: 1135.
https://doi.org/10.3390/jpm12071135
APA Style
Doldi, F., Plagwitz, L., Hoffmann, L. P., Rath, B., Frommeyer, G., Reinke, F., Leitz, P., Büscher, A., Güner, F., Brix, T., Wegner, F. K., Willy, K., Hanel, Y., Dittmann, S., Haverkamp, W., Schulze-Bahr, E., Varghese, J., & Eckardt, L.
(2022). Detection of Patients with Congenital and Often Concealed Long-QT Syndrome by Novel Deep Learning Models. Journal of Personalized Medicine, 12(7), 1135.
https://doi.org/10.3390/jpm12071135
