APA (7th ed.) Citation

Gilbert, C., Labib, D., Amakiri, A., Feng, Y., Chunta, A., White, J., . . . Miller, R. (2026). 26-A-10547-ACC DETERMINING A MINIMAL SET OF FEATURES TO PREDICT NON-OBSTRUCTIVE CORONARY ARTERY DISEASE USING MACHINE-LEARNING. Journal of the American College of Cardiology (JACC), 87(13), A1055. https://doi.org/10.1016/j.jacc.2026.02.2591

Chicago Style (17th ed.) Citation

Gilbert, Caitlyn, Dina Labib, Augustine Amakiri, Yuanchao Feng, Alec Chunta, James White, Stephen Wilton, Nowell Mark Fine, and Robert Miller. "26-A-10547-ACC DETERMINING A MINIMAL SET OF FEATURES TO PREDICT NON-OBSTRUCTIVE CORONARY ARTERY DISEASE USING MACHINE-LEARNING." Journal of the American College of Cardiology (JACC) 87, no. 13 (2026): A1055. https://doi.org/10.1016/j.jacc.2026.02.2591.

MLA (9th ed.) Citation

Gilbert, Caitlyn, et al. "26-A-10547-ACC DETERMINING A MINIMAL SET OF FEATURES TO PREDICT NON-OBSTRUCTIVE CORONARY ARTERY DISEASE USING MACHINE-LEARNING." Journal of the American College of Cardiology (JACC), vol. 87, no. 13, 2026, p. A1055, https://doi.org/10.1016/j.jacc.2026.02.2591.