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Open AccessArticle

Article Versions Notes

Technologies 2024, 12(2), 13; https://doi.org/10.3390/technologies12020013

Action	Date	Notes	Link
article xml file uploaded	23 January 2024 05:02 CET	Original file	-
article xml uploaded.	23 January 2024 05:02 CET	Update	https://www.mdpi.com/2227-7080/12/2/13/xml
article pdf uploaded.	23 January 2024 05:02 CET	Version of Record	https://www.mdpi.com/2227-7080/12/2/13/pdf
article html file updated	23 January 2024 05:04 CET	Original file	https://www.mdpi.com/2227-7080/12/2/13/html

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MDPI and ACS Style

Moltó-Balado, P.; Reverté-Villarroya, S.; Alonso-Barberán, V.; Monclús-Arasa, C.; Balado-Albiol, M.T.; Clua-Queralt, J.; Clua-Espuny, J.-L. Machine Learning Approaches to Predict Major Adverse Cardiovascular Events in Atrial Fibrillation. Technologies 2024, 12, 13. https://doi.org/10.3390/technologies12020013

AMA Style

Moltó-Balado P, Reverté-Villarroya S, Alonso-Barberán V, Monclús-Arasa C, Balado-Albiol MT, Clua-Queralt J, Clua-Espuny J-L. Machine Learning Approaches to Predict Major Adverse Cardiovascular Events in Atrial Fibrillation. Technologies. 2024; 12(2):13. https://doi.org/10.3390/technologies12020013

Chicago/Turabian Style

Moltó-Balado, Pedro, Silvia Reverté-Villarroya, Victor Alonso-Barberán, Cinta Monclús-Arasa, Maria Teresa Balado-Albiol, Josep Clua-Queralt, and Josep-Lluis Clua-Espuny. 2024. "Machine Learning Approaches to Predict Major Adverse Cardiovascular Events in Atrial Fibrillation" Technologies 12, no. 2: 13. https://doi.org/10.3390/technologies12020013

APA Style

Moltó-Balado, P., Reverté-Villarroya, S., Alonso-Barberán, V., Monclús-Arasa, C., Balado-Albiol, M. T., Clua-Queralt, J., & Clua-Espuny, J.-L. (2024). Machine Learning Approaches to Predict Major Adverse Cardiovascular Events in Atrial Fibrillation. Technologies, 12(2), 13. https://doi.org/10.3390/technologies12020013

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