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