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A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project.
Barmpas, Petros; Tasoulis, Sotiris; Vrahatis, Aristidis G; Georgakopoulos, Spiros V; Anagnostou, Panagiotis; Prina, Matthew; Ayuso-Mateos, José Luis; Bickenbach, Jerome; Bayes, Ivet; Bobak, Martin; Caballero, Francisco Félix; Chatterji, Somnath; Egea-Cortés, Laia; García-Esquinas, Esther; Leonardi, Matilde; Koskinen, Seppo; Koupil, Ilona; Paja K, Andrzej; Prince, Martin; Sanderson, Warren; Scherbov, Sergei; Tamosiunas, Abdonas; Galas, Aleksander; Haro, Josep Maria; Sanchez-Niubo, Albert; Plagianakos, Vassilis P; Panagiotakos, Demosthenes.
Afiliación
  • Barmpas P; Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
  • Tasoulis S; Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
  • Vrahatis AG; Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
  • Georgakopoulos SV; Department of Mathematics, University of Thessaly, Lamia, Greece.
  • Anagnostou P; Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
  • Prina M; Social Epidemiology Research Group. Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
  • Ayuso-Mateos JL; Global Health Institute, King's College London, London, UK.
  • Bickenbach J; Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain.
  • Bayes I; Department of Psychiatry, Universidad Autónoma de Madrid, Madrid, Spain.
  • Bobak M; Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS Princesa), Madrid, Spain.
  • Caballero FF; Swiss Paraplegic Research, Guido A. Zäch Institute (GZI), Nottwil, Switzerland.
  • Chatterji S; Department of Health Sciences & Health Policy, University of Lucerne, Lucerne, Switzerland.
  • Egea-Cortés L; Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain.
  • García-Esquinas E; Research, Innovation and Teaching Unit. Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain.
  • Leonardi M; Department of Epidemiology and Public Health, University College London, London, UK.
  • Koskinen S; Department Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Idipaz, Madrid, Spain.
  • Koupil I; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, CIBERESP, Madrid, Spain.
  • Paja K A; Information, Evidence and Research, World Health Organization, Geneva, Switzerland.
  • Prince M; Research, Innovation and Teaching Unit. Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain.
  • Sanderson W; Department Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Idipaz, Madrid, Spain.
  • Scherbov S; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, CIBERESP, Madrid, Spain.
  • Tamosiunas A; Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
  • Galas A; National Institute for Health and Welfare (THL), Helsinki, Finland.
  • Haro JM; Centre for Health Equity Studies, Department of Public Health Sciences, Stockholm University, Stockholm, Sweden.
  • Sanchez-Niubo A; Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.
  • Plagianakos VP; Department of Epidemiology and Population Studies, Jagienllonian University, Krakow, Poland.
  • Panagiotakos D; Global Health Institute, King's College London, London, UK.
Health Inf Sci Syst ; 10(1): 6, 2022 Dec.
Article en En | MEDLINE | ID: mdl-35529251
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Health Inf Sci Syst Año: 2022 Tipo del documento: Article País de afiliación: Grecia
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Health Inf Sci Syst Año: 2022 Tipo del documento: Article País de afiliación: Grecia