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ORCIDAna Clara de Andrade Mioto
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2020 – today
- 2023
[c10]Mariana Tavares Mozini, Raul Rothschild, Ana Clara de Andrade Mioto, Filipe Andrade Bernardi, Vinícius Lima, Giovane Thomazini Soares, Renan Barbieri Segamarchi, Domingos Alves:
OUTB: application for decision-support in the outcomes of Tuberculosis. CENTERIS/ProjMAN/HCist 2023: 832-839- [c9]Ana Clara de Andrade Mioto, Pedro Emilio Andrade Martins, Gabriel Modina, Domingos Alves, Vinícius Costa Lima, Mariane Barros Neiva, Filipe Andrade Bernardi:
Quality analysis and study of tuberculosis diagnostic data. CENTERIS/ProjMAN/HCist 2023: 939-946 - [c8]Pedro Emilio Andrade Martins
, Márcio Eloi Colombo Filho, Ana Clara de Andrade Mioto, Filipe Andrade Bernardi, Vinícius Costa Lima, Têmis Maria Félix, Domingos Alves:
Supervised Machine Learning Techniques Applied to Medical Records Toward the Diagnosis of Rare Autoimmune Diseases. ICCS (3) 2023: 170-184 - [c7]Victor Cassão, Filipe Andrade Bernardi, Vinícius Costa Lima, Giovane Thomazini Soares, Newton Shydeo Brandão Miyoshi, Ana Clara de Andrade Mioto, Afrânio Lineu Kritski, Domingos Alves:
A Web Portal for Real-Time Data Quality Analysis on the Brazilian Tuberculosis Research Network: A Case Study. ICCS (3) 2023: 300-312 - [c6]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
- [c5]Giovane Thomazini Soares, Diego Bettiol Yamada, Filipe Andrade Bernardi, Mariane Barros Neiva, Luis Pedro Lombardi Junior, André Luiz Teixeira Vinci, Ana Clara de Andrade Mioto, Domingos Alves:
Scaling laws and spatial effects of Brazilian health regions: a research protocol. CENTERIS/ProjMAN/HCist 2022: 1325-1332 - [c4]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 - [c3]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 - [c2]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 - 2021
- [c1]Victor Cassão, Domingos Alves, Ana Clara de Andrade Mioto, Filipe Andrade Bernardi, Newton Shydeo Brandão Miyoshi:
Unsupervised analysis of COVID-19 pandemic evolution in brazilian states. CENTERIS/ProjMAN/HCist 2021: 655-662
Coauthor Index
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