Cargando…
Ranking of a wide multidomain set of predictor variables of children obesity by machine learning variable importance techniques
The increased prevalence of childhood obesity is expected to translate in the near future into a concomitant soaring of multiple cardio-metabolic diseases. Obesity has a complex, multifactorial etiology, that includes multiple and multidomain potential risk factors: genetics, dietary and physical ac...
Autores principales: | Marcos-Pasero, Helena, Colmenarejo, Gonzalo, Aguilar-Aguilar, Elena, Ramírez de Molina, Ana, Reglero, Guillermo, Loria-Kohen, Viviana |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820584/ https://www.ncbi.nlm.nih.gov/pubmed/33479310 http://dx.doi.org/10.1038/s41598-021-81205-8 |
Ejemplares similares
-
The Q223R Polymorphism of the Leptin Receptor Gene as a Predictor of Weight Gain in Childhood Obesity and the Identification of Possible Factors Involved
por: Marcos-Pasero, Helena, et al.
Publicado: (2020) -
Dietary and Physical Activity Habits as Conditioning Factors of Nutritional Status among Children of GENYAL Study
por: Marcos-Pasero, Helena, et al.
Publicado: (2023) -
“GENYAL” Study to Childhood Obesity Prevention: Methodology and Preliminary Results
por: Marcos-Pasero, Helena, et al.
Publicado: (2022) -
Polymorphism of CLOCK Gene rs3749474 as a Modulator of the Circadian Evening Carbohydrate Intake Impact on Nutritional Status in an Adult Sample
por: Camblor Murube, Marina, et al.
Publicado: (2020) -
A Potential Endurance Algorithm Prediction in the Field of Sports Performance
por: de la Iglesia, Rocio, et al.
Publicado: (2020)