NATALIA ARIAS RAMOS-rekin lankidetzan egindako argitalpenak (8)

2023

  1. Adolescent relational behaviour and the obesity pandemic: A descriptive study applying social network analysis and machine learning techniques

    PloS one, Vol. 18, Núm. 8, pp. e0289553

  2. Text Classification of Users Claiming to Have ASD Using Traditional Machine Learning Techniques

    Springer Proceedings in Earth and Environmental Sciences (Springer Nature), pp. 202-208

2021

  1. Cannabis use and emotional intelligence in adolescents during covid-19 confinement: A social network analysis approach

    Sustainability (Switzerland), Vol. 13, Núm. 23

  2. The socialisation of the adolescent who carries out team sports: a transversal study of centrality with a social network analysis

    BMJ Open, Vol. 11, Núm. 3

  3. eHealth intervention to improve health habits in the adolescent population: Mixed methods study

    JMIR mHealth and uHealth, Vol. 9, Núm. 2

2020

  1. Evaluation of country dietary habits using machine learning techniques in relation to deaths from covid-19

    Healthcare (Switzerland), Vol. 8, Núm. 4

  2. Feasibility of social-network-based ehealth intervention on the improvement of healthy habits among children

    Sensors (Switzerland), Vol. 20, Núm. 5

2018

  1. Socioeconomic status in adolescents: A study of its relationship with overweight and obesity and influence on social network configuration

    International Journal of Environmental Research and Public Health, Vol. 15, Núm. 9