Detalhe da pesquisa
1.
Stochastic Petri net model describing the relationship between reported maternal and congenital syphilis cases in Brazil.
BMC Med Inform Decis Mak
; 22(1): 40, 2022 02 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-35168629
2.
Machine learning applied to retinal image processing for glaucoma detection: review and perspective.
Biomed Eng Online
; 19(1): 20, 2020 Apr 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-32293466
3.
Correction to: Stochastic Petri net model describing the relationship between reported maternal and congenital syphilis cases in Brazil.
BMC Med Inform Decis Mak
; 22(1): 74, 2022 Mar 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-35337313
4.
Computational methods applied to syphilis: where are we, and where are we going?
Front Public Health
; 11: 1201725, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37680278
5.
Electronic health records in Brazil: Prospects and technological challenges.
Front Public Health
; 10: 963841, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-36408021
6.
Syphilis response policies and their assessments: A scoping review.
Front Public Health
; 10: 1002245, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-36187663
7.
Data-driven computational intelligence applied to dengue outbreak forecasting: a case study at the scale of the city of Natal, RN-Brazil.
Sci Rep
; 12(1): 6550, 2022 04 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-35449179
8.
The Text Mining Technique Applied to the Analysis of Health Interventions to Combat Congenital Syphilis in Brazil: The Case of the "Syphilis No!" Project.
Front Public Health
; 10: 855680, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35433567
9.
Virtual Learning Environment of the Brazilian Health System (AVASUS): Efficiency of Results, Impacts, and Contributions.
Front Med (Lausanne)
; 9: 896208, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35721078