Potoupni, V.; Samaras, A.; Papadopoulos, C.; Boulmpou, A.; Moysiadis, T.; Zormpas, G.; Tzikas, A.; Fragakis, N.; Giannakoulas, G.; Vassilikos, V.
Machine-Learning-Driven Phenotyping in Heart Failure with Preserved Ejection Fraction: Current Approaches and Future Directions. Medicina 2025, 61, 1937.
https://doi.org/10.3390/medicina61111937
AMA Style
Potoupni V, Samaras A, Papadopoulos C, Boulmpou A, Moysiadis T, Zormpas G, Tzikas A, Fragakis N, Giannakoulas G, Vassilikos V.
Machine-Learning-Driven Phenotyping in Heart Failure with Preserved Ejection Fraction: Current Approaches and Future Directions. Medicina. 2025; 61(11):1937.
https://doi.org/10.3390/medicina61111937
Chicago/Turabian Style
Potoupni, Victoria, Athanasios Samaras, Christodoulos Papadopoulos, Aristi Boulmpou, Theodoros Moysiadis, Georgios Zormpas, Apostolos Tzikas, Nikolaos Fragakis, George Giannakoulas, and Vassilios Vassilikos.
2025. "Machine-Learning-Driven Phenotyping in Heart Failure with Preserved Ejection Fraction: Current Approaches and Future Directions" Medicina 61, no. 11: 1937.
https://doi.org/10.3390/medicina61111937
APA Style
Potoupni, V., Samaras, A., Papadopoulos, C., Boulmpou, A., Moysiadis, T., Zormpas, G., Tzikas, A., Fragakis, N., Giannakoulas, G., & Vassilikos, V.
(2025). Machine-Learning-Driven Phenotyping in Heart Failure with Preserved Ejection Fraction: Current Approaches and Future Directions. Medicina, 61(11), 1937.
https://doi.org/10.3390/medicina61111937
