Search Results - De Souza, Fernanda Sumika Hojo

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  1. 1
    An overview of Brazilian working age adults vulnerability to COVID-19

    An overview of Brazilian working age adults vulnerability to COVID-19 by de Souza, Fernanda Sumika Hojo, Hojo-Souza, Natália Satchiko, de Oliveira, Daniela Carine Ramires, Silva, Cristiano Maciel da, Guidoni, Daniel Ludovico

    Published in Scientific reports
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  2. 2
    Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data

    Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data by De Souza, Fernanda Sumika Hojo, Hojo-Souza, Natália Satchiko, Dos Santos, Edimilson Batista, Da Silva, Cristiano Maciel, Guidoni, Daniel Ludovico

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  3. 3
    Machine learning predicted emission of water-stable CdTe quantum dots

    Machine learning predicted emission of water-stable CdTe quantum dots by Fonseca, André Felipe Vale, Giarola, Cintia Ellen, Carvalho, Thais Adriany de Souza, Hojo de Souza, Fernanda Sumika, Schiavon, Marco Antônio

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  4. 4
    Clinical symptom profile of hospitalized COVID-19 Brazilian patients according to SARS-CoV-2 variants

    Clinical symptom profile of hospitalized COVID-19 Brazilian patients according to SARS-CoV-2 variants by Hojo-Souza, Natália Satchiko, Freitas, Vander Luis de Souza, Guidoni, Daniel Ludovico, Souza, Fernanda Sumika Hojo de

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  5. 5
    On the cytokine/chemokine network during Plasmodium vivax malaria: new insights to understand the disease

    On the cytokine/chemokine network during Plasmodium vivax malaria: new insights to understand the disease by 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
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  6. 6
    On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database

    On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database by 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
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  7. 7
    Second wave of COVID-19 in Brazil: younger at higher risk

    Second wave of COVID-19 in Brazil: younger at higher risk by de Souza, Fernanda Sumika Hojo, Hojo-Souza, Natália Satchiko, da Silva, Cristiano Maciel, Guidoni, Daniel Ludovico

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  8. 8
    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

    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 by Hojo-Souza, Natália Satchiko, Jassat, Waasila, Guidoni, Daniel Ludovico, de Souza, Fernanda Sumika Hojo

    Published in Viruses
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  9. 9
    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

    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 by 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)
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  10. 10
    Managing virtual network embedding through reconfiguration and expansion

    Managing virtual network embedding through reconfiguration and expansion by Araújo, Samuel Moreira Abreu, Guidoni, Daniel Ludovico, de Souza, Fernanda Sumika Hojo, Mateus, Geraldo Robson

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  11. 11
    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

    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... by 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

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