A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project

A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project. 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., Scherbov, S., Tamosiunas, A., Galas, A., Haro, J. M., Sanchez-Niubo, A., Plagianakos, V. P., & Panagiotakos, D. Health Information Science and Systems, 10(1):6, December, 2022.

Paper doi bibtex 16 downloads

@article{barmpas_divisive_2022,
	title = {A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the {ATHLOS} project},
	volume = {10},
	issn = {2047-2501},
	shorttitle = {A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies},
	url = {https://link.springer.com/10.1007/s13755-022-00171-1},
	doi = {10.1007/s13755-022-00171-1},
	language = {en},
	number = {1},
	urldate = {2022-04-18},
	journal = {Health Information Science and Systems},
	author = {Barmpas, Petros and Tasoulis, Sotiris and Vrahatis, Aristidis G. and Georgakopoulos, Spiros V. and Anagnostou, Panagiotis and Prina, Matthew and Ayuso-Mateos, José Luis and Bickenbach, Jerome and Bayes, Ivet and Bobak, Martin and Caballero, Francisco Félix and Chatterji, Somnath and Egea-Cortés, Laia and García-Esquinas, Esther and Leonardi, Matilde and Koskinen, Seppo and Koupil, Ilona and Paja̧k, Andrzej and Prince, Martin and Sanderson, Warren and Scherbov, Sergei and Tamosiunas, Abdonas and Galas, Aleksander and Haro, Josep Maria and Sanchez-Niubo, Albert and Plagianakos, Vassilis P. and Panagiotakos, Demosthenes},
	month = dec,
	year = {2022},
	pmcid = {PMC9013733},
	pmid = {35529251},
	keywords = {ATHLOS, Ageing Trajectories of Health – Longitudinal Opportunities and Synergies, ML, Machine Learning},
	pages = {6},
}

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