TY - GEN
T1 - Rescuing Relevant Features from Active Aging Surveys
T2 - 7th and 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2021 and ICT4AWE 2022
AU - Lima, Juan Fernando
AU - Cedillo, Priscila
AU - Acosta-Urigüen, María Inés
AU - Orellana, Marcos
AU - Bueno-Pacheco, Alexandra
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - Within the psychological currents, several proposals on active aging have been defined, conceptualizing it as a perspective or differentiated way of aging satisfactorily. These proposals generate indicators that assess the level of physical health, psychological well-being and adequate social and spiritual adaptation. The indicators are quantified based on active ageing surveys whose are differs for each ageing proposal and collects different features of active aging such as: health, cognition, activity, affection, fitness, and satisfaction levels. This methodology is focused on rescuing the relevant factors (features) facilitating the interpretation of the data, avoiding the non-required characteristics. The methodology proposes a set of data mining techniques for different types of data that could be present in the forms of active aging, and seeking to make a concrete proposal, the features of an active aging survey are evaluated, determining a subset of features where their weights make them more relevant in data collection, and finally, this methodology is positively evaluated as a model of acceptance by geriatric psychologists.
AB - Within the psychological currents, several proposals on active aging have been defined, conceptualizing it as a perspective or differentiated way of aging satisfactorily. These proposals generate indicators that assess the level of physical health, psychological well-being and adequate social and spiritual adaptation. The indicators are quantified based on active ageing surveys whose are differs for each ageing proposal and collects different features of active aging such as: health, cognition, activity, affection, fitness, and satisfaction levels. This methodology is focused on rescuing the relevant factors (features) facilitating the interpretation of the data, avoiding the non-required characteristics. The methodology proposes a set of data mining techniques for different types of data that could be present in the forms of active aging, and seeking to make a concrete proposal, the features of an active aging survey are evaluated, determining a subset of features where their weights make them more relevant in data collection, and finally, this methodology is positively evaluated as a model of acceptance by geriatric psychologists.
KW - Active ageing
KW - Data mining
KW - Features relevance
KW - Methodology
KW - TAM
UR - https://www.scopus.com/pages/publications/85169071775
U2 - 10.1007/978-3-031-37496-8_8
DO - 10.1007/978-3-031-37496-8_8
M3 - Contribución a la conferencia
AN - SCOPUS:85169071775
SN - 9783031374951
T3 - Communications in Computer and Information Science
SP - 138
EP - 156
BT - Information and Communication Technologies for Ageing Well and e-Health - 7th International Conference, ICT4AWE 2021, and 8th International Conference, ICT4AWE 2022, Revised Selected Papers
A2 - Maciaszek, Leszek A.
A2 - Maciaszek, Leszek A.
A2 - Mulvenna, Maurice D.
A2 - Ziefle, Martina
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 24 April 2021 through 26 April 2021
ER -