Poverty is a multidimensional concept that is not only related to economic aspects but also to health status, consumption, social and context deprivation. In particular, older adults are likely to require help with some or everyday activities and the total costs of this help can be very high especially when they are alone and not in good health. In this work a heterogeneous dataset acquired to consider various aspects of health, environment, social networks, and quality of life of older people is considered as source of knowledge. A procedure to label this data, that also relies on the domain expert intervention, is here presented to overcome the lack of groundtruth data. On this labelled data, a three class classifier is proposed to predict a three level risk of poverty.

D'Adda, F., Cremaschi, M., Messina, E., Terraneo, M., Bandini, S., Gasparini, F. (2023). A Three Level Prediction of Multidimensional Poverty in Elderly. In Proceedings of the Italia Intelligenza Artificiale - Thematic Workshops co-located with the 3rd CINI National Lab AIIS Conference on Artificial Intelligence (Ital IA 2023) (pp.544-549). CEUR-WS.

A Three Level Prediction of Multidimensional Poverty in Elderly

D'Adda F.;Cremaschi M.;Messina E.;Terraneo M.;Bandini S.;Gasparini F.
2023

Abstract

Poverty is a multidimensional concept that is not only related to economic aspects but also to health status, consumption, social and context deprivation. In particular, older adults are likely to require help with some or everyday activities and the total costs of this help can be very high especially when they are alone and not in good health. In this work a heterogeneous dataset acquired to consider various aspects of health, environment, social networks, and quality of life of older people is considered as source of knowledge. A procedure to label this data, that also relies on the domain expert intervention, is here presented to overcome the lack of groundtruth data. On this labelled data, a three class classifier is proposed to predict a three level risk of poverty.
paper
Elderly; Multidimensional Poverty; Sustainability; XGBoost;
English
Italia Intelligenza Artificiale - Thematic Workshops co-located with the 3rd CINI National Lab AIIS Conference on Artificial Intelligence (Ital IA 2023) - May 29-30, 2023
2023
Proceedings of the Italia Intelligenza Artificiale - Thematic Workshops co-located with the 3rd CINI National Lab AIIS Conference on Artificial Intelligence (Ital IA 2023)
2023
3486
544
549
https://ceur-ws.org/Vol-3486/
none
D'Adda, F., Cremaschi, M., Messina, E., Terraneo, M., Bandini, S., Gasparini, F. (2023). A Three Level Prediction of Multidimensional Poverty in Elderly. In Proceedings of the Italia Intelligenza Artificiale - Thematic Workshops co-located with the 3rd CINI National Lab AIIS Conference on Artificial Intelligence (Ital IA 2023) (pp.544-549). CEUR-WS.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/523799
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