A computational infrastructure for semantic data integration towards a patient-centered database for tuberculosis care
Vinícius Costa Lima Filipe Andrade Bernardi; Michael Domingues; Afrânio Lineu Kritski; Rui Pedro Chaters Lopes Rijo; Domingos Alves; International Conference on ENTERprise Information Systems - CENTERIS (2021 Braga); International Conference on Project MANagement - ProjMAN (2021 Braga); International Conference on Health and Social Care Information Systems and Technologies - HCist (2021 Braga)
Procedia Computer Science Amsterdam v. 196, p. 434-438, 2022
Amsterdam 2022
Localização:
FMRP - Fac. Medicina de Ribeirão Preto
(pcd 3125654 Acervo Digital )(Acessar)
My latent tuberculosis treatment mobile application to assist in adherence to latent tuberculosis treatment
Thomaz Felipe Soares Arnizant Filipe Andrade Bernardi; Tiago Lara Michelin Sanchez; Nathalia Yukie Crepaldi; Thiago Nascimento do Prado; Marcelle Temporim Novaes; Ethel Leonor Noia Maciel; Domingos Alves; International Conference on ENTERprise Information Systems - CENTERIS (2021 Braga); International Conference on Project MANagement - ProjMAN (2021 Braga); International Conference on Health and Social Care Information Systems and Technologies - HCist (2021 Braga)
Procedia Computer Science Amsterdam v. 196, p. 640–646, 2022
Amsterdam 2022
Localização:
FMRP - Fac. Medicina de Ribeirão Preto
(pcd 3126095 Acervo Digital )(Acessar)
TBI Score use of a mobile score system to aid the diagnosis of tuberculosis in children in Brazil
Filipe Andrade Bernardi Vinícius Costa Lima; Danilo Maglio Sampaio; Marcelo Cordeiro dos Santos; Rui Pedro Charters Lopes Rijo; Domingos Alves; International Conference on ENTERprise Information Systems - CENTERIS (2021 Braga); International Conference on Project MANagement - ProjMAN (2021 Braga); International Conference on Health and Social Care Information Systems and Technologies - HCist (2021 Braga)
Procedia Computer Science Amsterdam v. 196, p. 493-500, 2022
Amsterdam 2022
Localização:
FMRP - Fac. Medicina de Ribeirão Preto
(pcd 3126196 Acervo Digital )(Acessar)
An information system for monitoring tuberculosis cases implementation research protocol using RE-AIM for a health region in Brazil
Nathalia Yukie Crepaldi Vinícius Costa Lima; Filipe Andrade Bernardi; Domingos Alves; International Conference on ENTERprise Information Systems - CENTERIS (2022 Lisbon); International Conference on Project MANagement - ProjMAN (2022 Lisbon); International Conference on Health and Social Care Information Systems and Technologies - HCist (2022 Lisbon)
Procedia Computer Science Amsterdam v. 219, p. 1128-1135, 2023
Amsterdam 2023
Localização:
FMRP - Fac. Medicina de Ribeirão Preto
(pcd 3199952 Acervo Digital )(Acessar)
Preliminary results to predict tuberculosis outcomes applying traditional and automated machine learning models
Ana Clara de Andrade Mioto Mariana Tavares Mozini; Renan Barbieri Segamarchi; Giovane Thomazini Soares; Pedro Emilio Andrade Martins; Victor Cassão; Luís Gustavo Barichello Ferrassini; Newton Shydeo Brandão Miyoshi; Domingos Alves; Lariza Laura de Oliveira; International Conference on ENTERprise Information Systems - CENTERIS (2022 Lisbon); International Conference on Project MANagement - ProjMAN (2022 Lisbon); International Conference on Health and Social Care Information Systems and Technologies - HCist (2022 Lisbon)
Procedia Computer Science Amsterdam v. 219, p. 1365-1372, 2023
Amsterdam 2023
Localização:
FMRP - Fac. Medicina de Ribeirão Preto
(pcd 3200111 Acervo Digital )(Acessar)
Preliminary results on pulmonary tuberculosis detection in chest X-ray using convolutional neural networks
Márcio Eloi Colombo Filho Rafael Mello Galliez; Filipe Andrade Bernardi; Lariza Laura de Oliveira; Afrânio Lineu Kritski; Marcel Koenigkam Santos; Domingos Alves; International Conference on Computational Science - ICCS (20. Amsterdam 2020)
Lecture Notes in Computer Science: Computational Science – ICCS 2020 Cham v. 12140, p. 563-576, 2020
Cham 2020
Localização:
FMRP - Fac. Medicina de Ribeirão Preto
(pcd 3029579 Acervo Digital )(Acessar)