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Knowledge Discovery in Databases: Comorbidities in Tuberculosis Cases.

, , , , , , , , , , , , and . ICCS (3), volume 13352 of Lecture Notes in Computer Science, page 3-13. Springer, (2022)

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A Web Portal for Real-Time Data Quality Analysis on the Brazilian Tuberculosis Research Network: A Case Study., , , , , , , and . ICCS (3), volume 14075 of Lecture Notes in Computer Science, page 300-312. Springer, (2023)Ontology-based approach to achieve semantic interoperability on exchanging and integrating information about the patient clinical evolution., , and . CBMS, page 1-6. IEEE Computer Society, (2009)DeepVox and SAVE-CT: a contrast- and dose-independent 3D deep learning approach for thoracic aorta segmentation and aneurysm prediction using computed tomography scans., , , , , , , and . CoRR, (2023)Minimum Data Consensus: Essential Information to Continuing Healthcare., , and . CBMS, page 205-207. IEEE Computer Society, (2015)Proposal of an ontology for Mental Health Management in Brazil., , , , , , , , and . CENTERIS/ProjMAN/HCist, volume 138 of Procedia Computer Science, page 137-142. Elsevier, (2018)Arquitetura e métodos de integração de dados e interoperabilidade aplicados na saúde mental.. University of São Paulo, Brazil, (2018)ndltd.org (oai:teses.usp.br:tde-20072018-100724).Unsupervised analysis of COVID-19 pandemic evolution in brazilian states., , , , and . CENTERIS/ProjMAN/HCist, volume 196 of Procedia Computer Science, page 655-662. Elsevier, (2021)COVID-19 BR: A web portal for COVID-19 information in Brazil., , , , , , , , , and 1 other author(s). CENTERIS/ProjMAN/HCist, volume 196 of Procedia Computer Science, page 525-532. Elsevier, (2021)Preliminary Results to Predict Tuberculosis Outcomes Applying Traditional and Automated Machine Learning Models., , , , , , , , , and . CENTERIS/ProjMAN/HCist, page 1365-1372. Elsevier, (2022)BioBankWarden: A web-based system to support translational cancer research by managing clinical and biomaterial data., , , and . Comput. Biol. Medicine, (2017)