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Barmpas, P., Tasoulis, S., Vrahatis, A.G., Georgakopoulos, S.V., Anagnostou, P., Prina, M., Ayuso-Mateos, J.L., Bickenbach, J., Bayes, I., Bobak, M., Caballero, F.F., Chatterji, S., Egea-Cortés, L., García-Esquinas, E., Leonardi, M., Koskinen, S., Koupil, I., Paja̧k, A., Prince, M., Sanderson, W. et al. (2022). A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project. Health Information Science and Systems 10 (1), e6. 10.1007/s13755-022-00171-1.

Anagnostou, P., Tasoulis, S., Vrahatis, A. G., Georgakopoulos, S., Prina, M., Ayuso-Mateos, J. L., Bickenbach, J., Bayes-Marin, I., Caballero, F. F., Egea-Cortés, L., García-Esquinas, E., Leonardi, M., Scherbov, S., Tamosiunas, A., Galas, A., Haro, J. M., Sanchez-Niubo, A., Plagianakos, V. & Panagiotakos, D. (2021). Enhancing the Human Health Status Prediction: The ATHLOS Project. Applied Artificial Intelligence, 1-23. 10.1080/08839514.2021.1935591.

Sanchez-Niubo, A., Forero, C.G., Wu, Y.-T., Giné-Vázquez, L., Prina, M., De La Fuente, J., Daskalopoulou, C., Critselis, E., De La Torre-Luque, A., Panagiotakos, D., Arndt, H., Ayuso-Mateos, J.L., Bayes-Marin, I., Bickenbach, J., Bobak, M., Caballero, F.F., Chatterji, S., Egea-Cortés, L., García-Esquinas, E., Leonardi, M. et al. (2021). Development of a common scale for measuring healthy ageing across the world: results from the ATHLOS consortium. International Journal of Epidemiology, dyaa236. 10.1093/ije/dyaa236.