Machine Learning for Prediction of Adverse Cardiovascular Events in Adults With Repaired Tetralogy of Fallot Using Clinical and Cardiovascular Magnetic Resonance Imaging Variables.

MLA

Ishikita, Ayako, et al. “Machine Learning for Prediction of Adverse Cardiovascular Events in Adults With Repaired Tetralogy of Fallot Using Clinical and Cardiovascular Magnetic Resonance Imaging Variables.” Circulation. Cardiovascular Imaging, vol. 16, no. 6, June 2023, p. e015205. EBSCOhost, https://doi.org/10.1161/CIRCIMAGING.122.015205.

APA

Ishikita, A., McIntosh, C., Hanneman, K., Lee, M. M., Liang, T., Karur, G. R., Roche, S. L., Hickey, E., Geva, T., Barron, D. J., & Wald, R. M. (2023). Machine Learning for Prediction of Adverse Cardiovascular Events in Adults With Repaired Tetralogy of Fallot Using Clinical and Cardiovascular Magnetic Resonance Imaging Variables. Circulation. Cardiovascular Imaging, 16(6), e015205. https://doi.org/10.1161/CIRCIMAGING.122.015205

Chicago

Ishikita, Ayako, Chris McIntosh, Kate Hanneman, Myunghyun M Lee, Tiffany Liang, Gauri R Karur, S Lucy Roche, et al. 2023. “Machine Learning for Prediction of Adverse Cardiovascular Events in Adults With Repaired Tetralogy of Fallot Using Clinical and Cardiovascular Magnetic Resonance Imaging Variables.” Circulation. Cardiovascular Imaging 16 (6): e015205. doi:10.1161/CIRCIMAGING.122.015205.