Revista: | Computación y sistemas |
Base de datos: | |
Número de sistema: | 000560316 |
ISSN: | 1405-5546 |
Autores: | Barrué, Cristian1 Vila, Roger1 Martínez, Antonio B1 Martín, Mario1 Vázquez Salceda, Javier1 Simó, Rafael3 Barroso, Marta1 Cortés, Ulises2 |
Instituciones: | 1Universitat Politécnica de Catalunya, Computer Science Department, Barcelona. España 2Barcelona Supercomputing Center, Barcelona. España 3Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Barcelona. España |
Año: | 2019 |
Periodo: | Abr-Jun |
Volumen: | 23 |
Número: | 2 |
Paginación: | 351-363 |
País: | México |
Idioma: | Inglés |
Tipo de documento: | Artículo |
Resumen en inglés | In this article, we present the design of an mHealth system to support senior citizens with chronic diseases in managing their adherence to pharmacological treatment. The DIALCAT system consisting of a smart pill dispenser and a mobile application will be tested in a clinical study for 18 months by patients suffering diabetes with mild cognitive impairment. The clinical trial aims to study the effect of diabetes as an accelerator of cognitive impairment and Alzheimer's disease and the impact of adherence to treatment. DIALCAT is a RIS3CAT project co-funded under the European ERDF programme. |
Disciplinas: | Ciencias de la computación |
Palabras clave: | Inteligencia artificial |
Keyword: | EHealth, Active and assisted living, Diabetes, Mild cognitive impairment, Treatment adherence, MHealth, Artificial intelligence |
Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |