Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Philippi S. G. Morais"'
Autor:
Janaína L. R. S. Valentim, Sara Dias-Trindade, Eloiza S. G. Oliveira, Manoel H. Romão, Felipe Fernandes, Alexandre R. Caitano, Marilyn A. A. Bonfim, Aline P. Dias, Cristine M. G. Gusmão, Philippi S. G. Morais, Ronaldo S. Melo, Gustavo Fontoura de Souza, Kelson C. Medeiros, Maria C. F. D. Rêgo, Ricardo B. Ceccim, Ricardo A. M. Valentim
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
Education, with an emphasis on prison health, has acted as a policy inducing changes in work processes, which the Brazilian National Health System (SUS) has used, and which is present in permanent health education, which promotes health care for peop
Externí odkaz:
https://doaj.org/article/37898890296e418296fba8f65dd98c66
Autor:
Gabriela Albuquerque, Felipe Fernandes, Ingridy M. P. Barbalho, Daniele M. S. Barros, Philippi S. G. Morais, Antônio H. F. Morais, Marquiony M. Santos, Leonardo J. Galvão-Lima, Ana Isabela L. Sales-Moioli, João Paulo Q. Santos, Paulo Gil, Jorge Henriques, César Teixeira, Thaisa Santos Lima, Karilany D. Coutinho, Talita K. B. Pinto, Ricardo A. M. Valentim
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
Syphilis is an infectious disease that can be diagnosed and treated cheaply. Despite being a curable condition, the syphilis rate is increasing worldwide. In this sense, computational methods can analyze data and assist managers in formulating new pu
Externí odkaz:
https://doaj.org/article/19c4d1d6c41e49d48c02b581047115b0
Autor:
Janaína L. R. S. Valentim, Sara Dias-Trindade, Eloiza S. G. Oliveira, José A. M. Moreira, Felipe Fernandes, Manoel H. Romão, Philippi S. G. Morais, Alexandre R. Caitano, Aline P. Dias, Carlos A. P. Oliveira, Karilany D. Coutinho, Ricardo B. Ceccim, Ricardo A. M. Valentim
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
IntroductionBrazil has one of the largest prison populations globally, with over 682,000 imprisoned people. Prison health is a public health emergency as it presents increasingly aggravating disease rates, mainly sexually transmitted infections (STI)
Externí odkaz:
https://doaj.org/article/8833466279fd40efae6c854465198ec0
Autor:
Daniele M. S. Barros, Julio C. C. Moura, Cefas R. Freire, Alexandre C. Taleb, Ricardo A. M. Valentim, Philippi S. G. Morais
Publikováno v:
BioMedical Engineering OnLine, Vol 19, Iss 1, Pp 1-21 (2020)
Abstract Introduction This is a systematic review on the main algorithms using machine learning (ML) in retinal image processing for glaucoma diagnosis and detection. ML has proven to be a significant tool for the development of computer aided techno
Externí odkaz:
https://doaj.org/article/b5186e4a23a347b1b9a9f6737b812de6