Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory (2020)
- Authors:
- Autor USP: FUJITA, ANDRÉ - IME
- Unidade: IME
- DOI: 10.3390/ijerph17010090
- Subjects: ADOLESCENTES; TEORIA DOS GRAFOS
- Keywords: adolescent; machine-learning; network; graph; public health
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: International Journal of Environmental Research and Public Health
- ISSN: 1660-4601
- Volume/Número/Paginação/Ano: v. 17, n. 1, ar. 90, p. 1-10, 2020
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
OKU, Amanda Yumi Ambriola et al. Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory. International Journal of Environmental Research and Public Health, v. 17, n. 1, p. 1-10, 2020Tradução . . Disponível em: https://doi.org/10.3390/ijerph17010090. Acesso em: 24 abr. 2024. -
APA
Oku, A. Y. A., Morais, G. A. Z., Bueno, A. P. A., Fujita, A., & Sato, J. R. (2020). Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory. International Journal of Environmental Research and Public Health, 17( 1), 1-10. doi:10.3390/ijerph17010090 -
NLM
Oku AYA, Morais GAZ, Bueno APA, Fujita A, Sato JR. Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory [Internet]. International Journal of Environmental Research and Public Health. 2020 ; 17( 1): 1-10.[citado 2024 abr. 24 ] Available from: https://doi.org/10.3390/ijerph17010090 -
Vancouver
Oku AYA, Morais GAZ, Bueno APA, Fujita A, Sato JR. Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory [Internet]. International Journal of Environmental Research and Public Health. 2020 ; 17( 1): 1-10.[citado 2024 abr. 24 ] Available from: https://doi.org/10.3390/ijerph17010090 - Análise de dados de expressão gênica: normalização de microarrays e modelagem de redes regulatórias
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Informações sobre o DOI: 10.3390/ijerph17010090 (Fonte: oaDOI API)
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