Finding Insights between Active Aging Variables: Towards a Data Mining Approach

María-Inés Acosta-Urigüen, Priscila Cedillo, Priscila Cedillo, Marcos Orellana, Alexandra Bueno, Juan-Fernando Lima, Daniela Prado

2022

Abstract

Several proposals on active aging have been addressed within the psychological field, conceptualizing it satisfactorily as a perspective of aging. Those proposals generate indicators that assess the level of physical health, psychological wellbeing, adequate social adaptation. Physical, cognitive, and functional faculties, interpersonal relationships, and productive activities have been evaluated. Although several technological approaches have been proposed to promote active aging, they have not included a deep understanding of the results obtained from solution implementations. Then, this paper presents the first step towards an approach that uses variables proposed by active aging models (e.g., health, cognition, activity, affection, fitness aspects) to generate knowledge through patterns. These patterns are identified using data obtained through several instruments (i.e., psychological evaluations, health studies, and human experts' contributions). Thus, selecting those variables and evaluating them as future models is necessary. Domain experts perform this evaluation. The evaluation of this proposal has been completed with participants belonging to the health area through a case study. This evaluation generates input data for engineers to apply data mining techniques to reveal strategic knowledge. Finally, from the psychologist's point of view, the results showed that the contribution results are appropriate for achieving healthy aging indicators.

Paper Citation

in Harvard Style

Acosta-Urigüen M., Cedillo P., Orellana M., Bueno A., Lima J. and Prado D. (2022). Finding Insights between Active Aging Variables: Towards a Data Mining Approach. In Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE, ISBN 978-989-758-566-1, pages 268-275. DOI: 10.5220/0011068100003188

in Bibtex Style

@conference{ict4awe22,
author={María-Inés Acosta-Urigüen and Priscila Cedillo and Marcos Orellana and Alexandra Bueno and Juan-Fernando Lima and Daniela Prado},
title={Finding Insights between Active Aging Variables: Towards a Data Mining Approach},
booktitle={Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,},
year={2022},
pages={268-275},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011068100003188},
isbn={978-989-758-566-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,
TI - Finding Insights between Active Aging Variables: Towards a Data Mining Approach
SN - 978-989-758-566-1
AU - Acosta-Urigüen M.
AU - Cedillo P.
AU - Orellana M.
AU - Bueno A.
AU - Lima J.
AU - Prado D.
PY - 2022
SP - 268
EP - 275
DO - 10.5220/0011068100003188