Oscar Jossa-Bastidas
Biographic Data
| ID | 6781507 |
|---|---|
| NAME | Oscar Jossa-Bastidas |
| GIVEN NAMES | Oscar |
| FAMILY NAME | Jossa-Bastidas |
| SIGNATURE | JOSSA-BASTIDAS O |
| AFFILIATIONS | Universidad de Deusto |
| ORCID | 0000-0003-4806-5754 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Multisource data for monitoring and intervention of loneliness in the elderly
Loneliness is harmful to health like smoking, obesity or environmental pollution and is considered a critical public health issue. Studies report that between 24.7% and 33% of people feel lonely. In the population over 80 years it has increased since 1970 from 11% to 50%. Loneliness increases a person’s risk of premature death from all causes, including dementia and heart disease. In the elderly, it causes difficulty in maintaining an independent…
Big Data and IoT system using a serverless architecture for monitoring and intervention of loneliness in the elderly
An accelerated growth in the life expectancy of the elderly is being caused by medical advancements in recent decades and the decline in birth rates. Therefore, comprehensive care of the elderly represents a major issue. In addition, loneliness and depression have become major emotional disorders of high incidence in this sector of the population, causing difficulty in maintaining an independent life. Thus, this area of attention deserves great a…
Predicting Physical Exercise Adherence in Fitness Apps Using a Deep Learning Approach
The use of mobile fitness apps has been on the rise for the last decade and especially during the worldwide SARS-CoV-2 pandemic, which led to the closure of gyms and to reduced outdoor mobility. Fitness apps constitute a promising means for promoting more active lifestyles, although their attrition rates are remarkable and adherence to their training plans remains a challenge for developers. The aim of this project was to design an automatic clas…
No prominent works on this page.
Predicting Physical Exercise Adherence in Fitness Apps Using a Deep Learning Approach
The use of mobile fitness apps has been on the rise for the last decade and especially during the worldwide SARS-CoV-2 pandemic, which led to the closure of gyms and to reduced outdoor mobility. Fitness apps constitute a promising means for promoting more active lifestyles, although their attrition rates are remarkable and adherence to their training plans remains a challenge for developers. The aim of this project was to design an automatic clas…
Big Data and IoT system using a serverless architecture for monitoring and intervention of loneliness in the elderly
An accelerated growth in the life expectancy of the elderly is being caused by medical advancements in recent decades and the decline in birth rates. Therefore, comprehensive care of the elderly represents a major issue. In addition, loneliness and depression have become major emotional disorders of high incidence in this sector of the population, causing difficulty in maintaining an independent life. Thus, this area of attention deserves great a…
Multisource data for monitoring and intervention of loneliness in the elderly
Loneliness is harmful to health like smoking, obesity or environmental pollution and is considered a critical public health issue. Studies report that between 24.7% and 33% of people feel lonely. In the population over 80 years it has increased since 1970 from 11% to 50%. Loneliness increases a person’s risk of premature death from all causes, including dementia and heart disease. In the elderly, it causes difficulty in maintaining an independent…
Medicine (3 works) · Computer Science (2 works) · Gerontology (2 works) · Intervention (counseling (2 works) · Loneliness (2 works) · Nursing (2 works) · Psychiatry (2 works) · Psychology (2 works) · Architecture (1 work) · Artificial Intelligence (1 work)