Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Keduly Vieira Gadelha"'
Predicting congenital syphilis cases: A performance evaluation of different machine learning models.
Autor:
Igor Vitor Teixeira, Morgana Thalita da Silva Leite, Flávio Leandro de Morais Melo, Élisson da Silva Rocha, Sara Sadok, Ana Sofia Pessoa da Costa Carrarine, Marília Santana, Cristina Pinheiro Rodrigues, Ana Maria de Lima Oliveira, Keduly Vieira Gadelha, Cleber Matos de Morais, Judith Kelner, Patricia Takako Endo
Publikováno v:
PLoS ONE, Vol 18, Iss 6, p e0276150 (2023)
BackgroundCommunicable diseases represent a huge economic burden for healthcare systems and for society. Sexually transmitted infections (STIs) are a concerning issue, especially in developing and underdeveloped countries, in which environmental fact
Externí odkaz:
https://doaj.org/article/2a773510e58842058886723d2fcf3132
Autor:
Igor Vitor Teixeira, Morgana Thalita da Silva Leite, Flávio Leandro de Morais Melo, Élisson da Silva Rocha, Sara Sadok, Ana Sofia Pessoa da Costa Carrarine, Marília Santana, Cristina Pinheiro Rodrigues, Ana Maria de Lima Oliveira, Keduly Vieira Gadelha, Cleber Matos de Morais, Judith Kelner, Patricia Takako Endo
BackgroundCommunicable diseases represent a huge economic burden for healthcare systems and for society. Sexually transmitted infections (STIs) are a concerning issue, especially in developing and underdeveloped countries, in which environmental fact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac7dea295dec217867e73489cf850ae4
https://doi.org/10.1101/2022.10.02.22280616
https://doi.org/10.1101/2022.10.02.22280616
