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 (CENTERIS/ProjMAN/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 (CENTERIS/ProjMAN/HCist, 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; et al. (ICCS (3), 2022)

OUTB: application for decision-support in the outcomes of Tuberculosis. - Mariana Tavares Mozini; Raul Rothschild; Ana Clara de Andrade Mioto; Filipe Andrade Bernardi; Vinícius Lima 001; Giovane Thomazini Soares; Renan Barbieri Segamarchi; Domingos Alves (CENTERIS/ProjMAN/HCist, 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 (ICIMTH, 2023)