A revision and analysis of the comprehensiveness of the main longitudinal studies of human aging for data mining research

Author:

Ribeiro Caio Eduardo1ORCID,Brito Luis Henrique S.1,Nobre Cristiane Neri1,Freitas Alex A.2,Zárate Luis Enrique1

Affiliation:

1. Departamento de Informática; Pontifícia Universidade Católica de Minas Gerais; Belo Horizonte Brazil

2. School of Computing; University of Kent; Canterbury UK

Funder

International Cooperation Program CAPES/COFECUB at the PUC-Minas University

CAPES-Brazilian Federal Agency

Publisher

Wiley

Subject

General Computer Science

Reference78 articles.

1. Du W Cheung H Johnson CA Goldberg I Thambisetty M Becker K 2015

2. Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration;Chen;Biometrics,2015

3. UNDESA (United Nations Department of Economic and Social Affairs) Population Division 2015

4. A review of longitudinal datasets on ageing;Kaiser;J Popul Ageing,2013

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