García-García, E.; González-Romero, G.M.; Martín-Pérez, E.M.; Zapata Cornejo, E.d.D.; Escobar-Aguilar, G.; Cárdenas Bonnet, M.F.
Real-World Data and Machine Learning to Predict Cardiac Amyloidosis. Int. J. Environ. Res. Public Health 2021, 18, 908.
https://doi.org/10.3390/ijerph18030908
AMA Style
García-García E, González-Romero GM, Martín-Pérez EM, Zapata Cornejo EdD, Escobar-Aguilar G, Cárdenas Bonnet MF.
Real-World Data and Machine Learning to Predict Cardiac Amyloidosis. International Journal of Environmental Research and Public Health. 2021; 18(3):908.
https://doi.org/10.3390/ijerph18030908
Chicago/Turabian Style
García-García, Elena, Gracia María González-Romero, Encarna M. Martín-Pérez, Enrique de Dios Zapata Cornejo, Gema Escobar-Aguilar, and Marlon Félix Cárdenas Bonnet.
2021. "Real-World Data and Machine Learning to Predict Cardiac Amyloidosis" International Journal of Environmental Research and Public Health 18, no. 3: 908.
https://doi.org/10.3390/ijerph18030908
APA Style
García-García, E., González-Romero, G. M., Martín-Pérez, E. M., Zapata Cornejo, E. d. D., Escobar-Aguilar, G., & Cárdenas Bonnet, M. F.
(2021). Real-World Data and Machine Learning to Predict Cardiac Amyloidosis. International Journal of Environmental Research and Public Health, 18(3), 908.
https://doi.org/10.3390/ijerph18030908