Enhancing the Human Health Status Prediction: The ATHLOS Project-Reference-Cited by-同舟云学术

Enhancing the Human Health Status Prediction: The ATHLOS Project

Published:2021-06-17 Issue:11 Volume:35 Page:834-856
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Anagnostou P.¹^ORCID,Tasoulis S.¹^ORCID,Vrahatis A. G.¹,Georgakopoulos S.¹,Prina M.²³^ORCID,Ayuso-Mateos J. L.⁴⁵⁶^ORCID,Bickenbach J.⁷⁸,Bayes-Marin I.⁴⁹,Caballero F. F.¹⁰¹¹,Egea-Cortés L.⁹,García-Esquinas E.¹⁰¹¹,Leonardi M.¹²,Scherbov S.¹³¹⁴¹⁵,Tamosiunas A.¹⁶,Galas A.¹⁷,Haro J. M.⁴⁹^ORCID,Sanchez-Niubo A.⁴⁹^ORCID,Plagianakos V.¹,Panagiotakos D.¹⁸

Affiliation:

1. Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece

2. Social Epidemiology Research Group. Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK

3. Global Health Institute, King’s College London, London, UK

4. Centro De Investigación Biomédica En Red De Salud Mental, CIBERSAM, Madrid, Spain

5. Department of Psychiatry, Universidad Autónoma De Madrid, Madrid, Spain

6. Hospital Universitario De La Princesa, Instituto De Investigación Sanitaria Princesa (IIS Princesa), Madrid, Spain

7. Swiss Paraplegic Research, Guido A. Zäch Institute (GZI), Nottwil, Switzerland

8. Department of Health Sciences & Health Policy, University of Lucerne, Lucerne, Switzerland

9. Research, Innovation and Teaching Unit. Parc Sanitari Sant Joan De Déu, Sant Boi De Llobregat, Spain

10. Department Preventive Medicine and Public Health, Universidad Autónoma De Madrid/Idipaz, Madrid, Spain

11. Centro De Investigación Biomédica En Red De Epidemiología Y Salud Pública, CIBERESP, Madrid, Spain

12. Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy

13. International Institute for Applied Systems Analysis, World Population Program, Wittgenstein Centre for Demography and Global Human Capital, Laxenburg, Austria

14. Austrian Academy of Science, Vienna Institute of Demography, Vienna, Austria

15. Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russian Federation

16. Lithuanian University of Health Sciences, Kaunas, Lithuania

17. Department of Epidemiology and Preventive Medicine, Jagiellonian University, Krakow, Poland

18. Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece

Funder

did not receive any specific grant from funding agencies in the public

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2021.1935591

Reference72 articles.

1. THE AUSTRALIAN LONGITUDINAL STUDY OF AGEING

2. The International Year of Older Persons: Putting Aging and Research Onto the Political Agenda

3. Arokiasamy, P., D. Bloom, J. Lee, K. Feeney, and M. Ozolins. 2012. Longitudinal aging study in India: Vision, design, implementation, and preliminary findings. National Research Council (US) Panel on Policy Research and Data Needs to Meet the Challenge of Aging in Asia; Smith JP, Majmundar M, editors. Aging in Asia: Findings From New and Emerging Data Initiatives. Washington (DC): National Academies Press (US)

4. Multiple imputation by chained equations: what is it and how does it work?

5. Data Resource Profile: The Survey of Health, Ageing and Retirement in Europe (SHARE)