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)

Quality analysis and study of tuberculosis diagnostic data. - Ana Clara de Andrade Mioto; Pedro Emilio Andrade Martins; Gabriel Modina; Domingos Alves; Vinícius Costa Lima; Mariane Barros Neiva; Filipe Andrade Bernardi (CENTERIS/ProjMAN/HCist, 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 (ICCS (3), 2023)