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Newton Shydeo Brandão Miyoshi
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2020 – today
- 2023
- [c13]Angelo Rossini, Domingos Alves, Victor Cassão, Newton Shydeo Brandão Miyoshi:
Unsupervised K-means Analysis of Tuberculosis Data in Brazil: Identifying High Prevalence States and Temporal Trends. CENTERIS/ProjMAN/HCist 2023: 1839-1846 - [c12]Victor Cassão
, Filipe Andrade Bernardi
A Web Portal for Real-Time Data Quality Analysis on the Brazilian Tuberculosis Research Network: A Case Study. ICCS (3) 2023: 300-312 - [i1]Matheus del-Valle
DeepVox and SAVE-CT: a contrast- and dose-independent 3D deep learning approach for thoracic aorta segmentation and aneurysm prediction using computed tomography scans. CoRR abs/2310.15328 (2023) - 2022
- [c11]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 - [c10]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 - [c9]Isabelle Carvalho
Knowledge Discovery in Databases: Comorbidities in Tuberculosis Cases. ICCS (3) 2022: 3-13 - 2021
- [c8]Isabelle Carvalho, Filipe Andrade Bernardi
COVID-19 BR: A web portal for COVID-19 information in Brazil. CENTERIS/ProjMAN/HCist 2021: 525-532 - [c7]Victor Cassão, Domingos Alves, Ana Clara de Andrade Mioto, Filipe Andrade Bernardi
Unsupervised analysis of COVID-19 pandemic evolution in brazilian states. CENTERIS/ProjMAN/HCist 2021: 655-662 - 2020
- [j3]Verena Hokino Yamaguti
Development of CART model for prediction of tuberculosis treatment loss to follow up in the state of São Paulo, Brazil: A case-control study. Int. J. Medical Informatics 141: 104198 (2020) - [c6]Diego Bettiol Yamada, Filipe Andrade Bernardi
Ontology-Based Inference for Supporting Clinical Decisions in Mental Health. ICCS (4) 2020: 363-375
2010 – 2019
- 2019
- [c5]Nathalia Yukie Crepaldi
SISTB: an ecosystem for monitoring TB. CENTERIS/ProjMAN/HCist 2019: 587-594 - [c4]André L. T. Vinci
Using Mental Health Indicators to Improve Health Care Management: A Web-based Approach. ICIMTH 2019: 292-295 - 2018
- [b1]Newton Shydeo Brandão Miyoshi:
Arquitetura e métodos de integração de dados e interoperabilidade aplicados na saúde mental. University of São Paulo, Brazil, 2018 - [c3]Diego Bettiol Yamada
Proposal of an ontology for Mental Health Management in Brazil. CENTERIS/ProjMAN/HCist 2018: 137-142 - 2017
- [j2]Yuri Ferretti, Newton Shydeo Brandão Miyoshi
BioBankWarden: A web-based system to support translational cancer research by managing clinical and biomaterial data. Comput. Biol. Medicine 84: 254-261 (2017) - 2015
- [c2]Milena Gomes Delfini, Newton Shydeo Brandão Miyoshi
Minimum Data Consensus: Essential Information to Continuing Healthcare. CBMS 2015: 205-207 - 2013
- [j1]Newton Shydeo Brandão Miyoshi
Computational framework to support integration of biomolecular and clinical data within a translational approach. BMC Bioinform. 14: 180 (2013)
2000 – 2009
- 2009
- [c1]Newton Shydeo Brandão Miyoshi
Ontology-based approach to achieve semantic interoperability on exchanging and integrating information about the patient clinical evolution. CBMS 2009: 1-6
Coauthor Index
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