Potential Confounders in the Analysis of Brazilian Adolescent’s Health: A Combination of Machine Learning and Graph Theory

The prevalence of health problems during childhood and adolescence is high in developing countries such as Brazil. Social inequality, violence, and malnutrition have strong impact on youth health. To better understand these issues we propose to combine machine-learning methods and graph analysis to...

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Detalles Bibliográficos
Autores principales: Ambriola Oku, Amanda Yumi, Zimeo Morais, Guilherme Augusto, Arantes Bueno, Ana Paula, Fujita, André, Sato, João Ricardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981403/
https://www.ncbi.nlm.nih.gov/pubmed/31877700
http://dx.doi.org/10.3390/ijerph17010090

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981403/
https://www.ncbi.nlm.nih.gov/pubmed/31877700
http://dx.doi.org/10.3390/ijerph17010090

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