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A model for continuous monitoring of patients with major depression in short and long term periods

Autor
Mugica, F.; Nebot, M.; Bagherpour, S.; Baladón, L.; Serrano-Blanco, A.
Tipus d'activitat
Article en revista
Revista
Technology and health care
Data de publicació
2016-12-19
DOI
https://doi.org/10.3233/THC-161289 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/102180 Obrir en finestra nova
URL
http://content.iospress.com/articles/technology-and-health-care/thc1289 Obrir en finestra nova
Resum
BACKGROUND AND OBJECTIVE: Major depressive disorder causes more human suffering than any other disease affecting humankind. It has a high prevalence and it is predicted that it will be among the three leading causes of disease burden by 2030. The prevalence of depression, all of its social and personal costs, and its recurrent characteristics, put heavy constraints on the ability of the public healthcare system to provide sufficient support for patients with depression. In this research, a model...
Citació
Mugica, F., Nebot, M., Bagherpour, S., Baladón, L., Serrano-Blanco, A. A model for continuous monitoring of patients with major depression in short and long term periods. "Technology and health care", 19 Desembre 2016.
Paraules clau
Major depressive disorder, Qualitative reasoning, Remote monitoring system, Rule-base system
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
SOCO - Soft Computing

Participants

Arxius