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ORCIDMariana Tavares Mozini
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Conference and Workshop Papers
- 2023
[c4]Mariana Tavares Mozini
, Filipe Andrade Bernardi, Ana Clara de Andrade Mioto, Victor Cassão, Afrânio Lineu Kritski, Domingos Alves:
A Computational Infrastructure for Analyzing Tuberculosis Research Data in Brazil. ICIMTH 2023: 558-561- 2022
- [c3]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:
Preliminary Results to Predict Tuberculosis Outcomes Applying Traditional and Automated Machine Learning Models. CENTERIS/ProjMAN/HCist 2022: 1365-1372 - [c2]Victor Cassão, Domingos Alves, Ana Clara de Andrade Mioto, Mariana Tavares Mozini, Renan Barbieri Segamarchi, Newton Shydeo Brandão Miyoshi:
Unsupervised analysis of COVID-19 pandemic evolution in brazilian states: Vaccination Scenario. CENTERIS/ProjMAN/HCist 2022: 1453-1461 - [c1]Isabelle Carvalho, Mariane Barros Neiva, Newton Shydeo Brandão Miyoshi, Nathalia Yukie Crepaldi, Filipe Andrade Bernardi, Vinícius Costa Lima, Ketlin Fabri dos Santos, Ana Clara de Andrade Mioto, Mariana Tavares Mozini, Rafael Mello Galliez, Mauro Niskier Sanchez, Afrânio Lineu Kritski, Domingos Alves:
Knowledge Discovery in Databases: Comorbidities in Tuberculosis Cases. ICCS (3) 2022: 3-13
Coauthor Index
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