Cargando…
Evaluation of Country Dietary Habits Using Machine Learning Techniques in Relation to Deaths from COVID-19
COVID-19 disease has affected almost every country in the world. The large number of infected people and the different mortality rates between countries has given rise to many hypotheses about the key points that make the virus so lethal in some places. In this study, the eating habits of 170 countr...
Autores principales: | García-Ordás, María Teresa, Arias, Natalia, Benavides, Carmen, García-Olalla, Oscar, Benítez-Andrades, José Alberto |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712769/ https://www.ncbi.nlm.nih.gov/pubmed/33003439 http://dx.doi.org/10.3390/healthcare8040371 |
Ejemplares similares
-
Feasibility of Social-Network-Based eHealth Intervention on the Improvement of Healthy Habits among Children
por: Benítez-Andrades, José Alberto, et al.
Publicado: (2020) -
eHealth Intervention to Improve Health Habits in the Adolescent Population: Mixed Methods Study
por: Benavides, Carmen, et al.
Publicado: (2021) -
Adolescent relational behaviour and the obesity pandemic: A descriptive study applying social network analysis and machine learning techniques
por: Marqués-Sánchez, Pilar, et al.
Publicado: (2023) -
Detection of the most influential variables for preventing postpartum urinary incontinence using machine learning techniques
por: Benítez-Andrades, José Alberto, et al.
Publicado: (2022) -
Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data
por: García-Ordás, María Teresa, et al.
Publicado: (2020)