| Revue: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560663 |
| ISSN: | 1405-5546 |
| Autores: | Bello Valle, Amado Scott1 Martínez Rebollar, Alicia1 Sánchez, Wendy2 Estrada Esquivel, Hugo1 |
| Instituciones: | 1Tecnológico Nacional de México, Centro Nacional de Investigación y Desarrollo Tecnológico, México 2Tecnológico Nacional de México, Instituto Tecnológico de Matamoros, México |
| Año: | 2022 |
| Periodo: | Ene-Mar |
| Volumen: | 26 |
| Número: | 1 |
| Paginación: | 113-124 |
| País: | México |
| Idioma: | Inglés |
| Resumen en inglés | In Mexico, elderly is the group with the highest growth rate in the entire country. In 2010, the elderly represented 8.8% of the population and it is estimated that by 2050, they will represent 28% of the estimated population. This demographic change represents several challenges for current social programs that intend to maintain the independence of elderly in families and in their community. The problem of the development of emotional and psychological disorders in older adults can be associated with the prevalence of affective, cognitive, and behavioral disorders. In most cases, these medical conditions are not properly diagnosed or treated. This situation is currently a research topic of novel approaches to improve the well-being and quality of life of this segment of the population. The objective of research work presented in this paper is to develop a predictive model of loneliness and social isolation from the information obtained from the monitoring of the daily activities of an older adult. |
| Keyword: | Predictive model, Loneliness, Social isolation, Elderly |
| Texte intégral: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
