Ana Clara de Andrade Mioto

According to our database, Ana Clara de Andrade Mioto authored at least 8 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

A Computational Infrastructure for Analyzing Tuberculosis Research Data in Brazil.

Mariana Tavares Mozini, Filipe Andrade Bernardi, Ana Clara de Andrade Mioto, Victor Cassão, Afrânio Lineu Kritski, Domingos Alves

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

Supervised Machine Learning Techniques Applied to Medical Records Toward the Diagnosis of Rare Autoimmune Diseases.

Pedro Emilio Andrade Martins, Márcio Eloi Colombo Filho, Ana Clara de Andrade Mioto, Filipe Andrade Bernardi, Vinícius Costa Lima, Têmis Maria Félix, Domingos Alves

Proceedings of the Computational Science - ICCS 2023, 2023

A Web Portal for Real-Time Data Quality Analysis on the Brazilian Tuberculosis Research Network: A Case Study.

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

Proceedings of the Computational Science - ICCS 2023, 2023

2022

Knowledge Discovery in Databases: Comorbidities in Tuberculosis Cases.

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

Proceedings of the Computational Science - ICCS 2022, 2022

Scaling laws and spatial effects of Brazilian health regions: a research protocol.

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

Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022

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

Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022

Unsupervised analysis of COVID-19 pandemic evolution in brazilian states: Vaccination Scenario.

Victor Cassão, Domingos Alves, Ana Clara de Andrade Mioto, Mariana Tavares Mozini, Renan Barbieri Segamarchi, Newton Shydeo Brandão Miyoshi

Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022

2021

Unsupervised analysis of COVID-19 pandemic evolution in brazilian states.

Victor Cassão, Domingos Alves, Ana Clara de Andrade Mioto, Filipe Andrade Bernardi, Newton Shydeo Brandão Miyoshi

Proceedings of the CENTERIS 2021 - International Conference on ENTERprise Information Systems / ProjMAN 2021 - International Conference on Project MANagement / HCist 2021, 2021