Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data
De Souza, Fernanda Sumika Hojo, Hojo-Souza, Natália Satchiko, Dos Santos, Edimilson Batista, Da Silva, Cristiano Maciel, Guidoni, Daniel Ludovico
Published in Frontiers in artificial intelligence (13.08.2021)
Published in Frontiers in artificial intelligence (13.08.2021)
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Journal Article
On the cytokine/chemokine network during Plasmodium vivax malaria: new insights to understand the disease
Hojo-Souza, Natália Satchiko, Pereira, Dhelio Batista, de Souza, Fernanda Sumika Hojo, de Oliveira Mendes, Tiago Antônio, Cardoso, Mariana Santos, Tada, Mauro Shugiro, Zanini, Graziela Maria, Bartholomeu, Daniella Castanheira, Fujiwara, Ricardo Toshio, Bueno, Lilian Lacerda
Published in Malaria journal (24.01.2017)
Published in Malaria journal (24.01.2017)
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Journal Article
On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database
de Souza, Fernanda Sumika Hojo, Hojo-Souza, Natália Satchiko, Batista, Ben Dêivide de Oliveira, da Silva, Cristiano Maciel, Guidoni, Daniel Ludovico
Published in PloS one (18.03.2021)
Published in PloS one (18.03.2021)
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Journal Article
Risks of Adverse Outcomes for Hospitalized COVID-19 Patients during the Four Waves in Brazil According to SARS-CoV-2 Variants, Age Group, and Vaccine Status
Hojo-Souza, Natália Satchiko, Jassat, Waasila, Guidoni, Daniel Ludovico, de Souza, Fernanda Sumika Hojo
Published in Viruses (26.09.2023)
Published in Viruses (26.09.2023)
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Journal Article
Profile and Outcomes of Hospitalized COVID-19 Patients during the Prevalence of the Omicron Variant According to the Brazilian Regions: A Retrospective Cohort Study from 2022
Drummond, Pedro Dutra, de Salles, Daniel Bortot, de Souza, Natália Satchiko Hojo, Oliveira, Daniela Carine Ramires, Guidoni, Daniel Ludovico, de Souza, Fernanda Sumika Hojo
Published in Vaccines (Basel) (01.10.2023)
Published in Vaccines (Basel) (01.10.2023)
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Journal Article
RAGE: A novel strategy for solving non-polynomial problems through the random generation of solutions and incremental reduction of the number of candidates: A case study applied to the design of the network infrastructure for connected vehicles
da Silva, Cristiano Maciel, Sarubbi, João Fernando Machry, Mokhtari, Somayeh, dos Santos, Leonardo Alvarenga Lopes, Silva, Lucas Diniz, de Souza, Fernanda Sumika Hojo, Guidoni, Daniel Ludovico, Nogueira, Jose Marcos Silva
Published in Expert systems with applications (01.03.2023)
Published in Expert systems with applications (01.03.2023)
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Journal Article
On the Analysis of Newman & Watts and Kleinberg Small World Models in Wireless Sensor Networks
Pereira Araujo, Renan, Sumika Hojo de Souza, Fernanda, Ueyama, Jo, Villas, Leandro Aaparecido, Guidoni, Daniel Ludovico
Published in 2015 IEEE 14th International Symposium on Network Computing and Applications (01.09.2015)
Published in 2015 IEEE 14th International Symposium on Network Computing and Applications (01.09.2015)
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Conference Proceeding
Topological Design of Resilient Heterogeneous Networks with QoS
Souza, Braulio Antonio Mesquita, Guidoni, Daniel Ludovico, Souza, Fernanda Sumika Hojo de, Mateus, Geraldo Robson
Published in 2014 Brazilian Symposium on Computer Networks and Distributed Systems (01.05.2014)
Published in 2014 Brazilian Symposium on Computer Networks and Distributed Systems (01.05.2014)
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Conference Proceeding
FIRE-NRD: A Fully-Distributed and Vanets-Based Traffic Management System for Next Road Decision
Gomides, Thiago S., Fernandes, Massilon L., Sumika Hojo de Souza, Fernanda, Villas, Leandro, Guidoni, Daniel L.
Published in 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS) (01.05.2019)
Published in 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS) (01.05.2019)
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Conference Proceeding