Fernanda S. H. Souza
Universidade Federal de São João del-Rei
63 Papers
141 Citations
Fernanda S. H. Souza is an academic researcher from Universidade Federal de São João del-Rei. The author has contributed to research in topics: Network topology & Computer science. The author has an hindex of 9, co-authored 51 publications. Previous affiliations of Fernanda S. H. Souza include Universidade Federal de Minas Gerais & University of Ottawa.
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Papers
Predicting the disease outcome in COVID-19 positive patients through Machine Learning: a retrospective cohort study with Brazilian data
Fernanda S. H. Souza,Natália Satchiko Hojo-Souza,Edimilson Batista dos Santos,Cristiano M. Silva,Daniel L. Guidoni +4 more
TL;DR: Machine learning techniques fed with demographic and clinical data along with comorbidities of the patients can assist in the prognostic prediction and physician decision-making, allowing a faster response and contributing to the non-overload of healthcare systems.
Vehicular Traffic Management Based on Traffic Engineering for Vehicular Ad Hoc Networks
Daniel L. Guidoni,Guilherme Maia,Fernanda S. H. Souza,Leandro A. Villas,Antonio A. F. Loureiro +4 more
TL;DR: Simulation results show the ability of Re-RouTE to improve travel time, travel distance, speed and the number of messages transmitted when compared to a literature solution.
On the Analysis of Mortality Risk Factors for Hospitalized COVID-19 Patients: a Data-driven Study Using the Major Brazilian Database
Fernanda S. H. Souza,Natália Satchiko Hojo-Souza,Ben Dêivide de Oliveira Batista,Cristiano M. Silva,Daniel L. Guidoni +4 more
TL;DR: This study provides a comprehensive overview of the hospitalized Brazilian COVID-19 patients profile and the mortality risk factors and evidenced that the disease outcome is influenced by multiple factors, as unequally affects different segments of population.
Detection of SARS-CoV-2 RNA on public surfaces in a densely populated urban area of Brazil: A potential tool for monitoring the circulation of infected patients.
Jônatas Santos Abrahão,Lívia Sacchetto,Izabela Maurício de Rezende,Rodrigo Araújo Lima Rodrigues,Ana Paula Correia Crispim,César Moura,Diogo Correia Mendonça,Erik Reis,Fernanda S. H. Souza,Gabriela Fernanda Garcia Oliveira,Iago José da Silva Domingos,Paulo Victor de Miranda Boratto,Pedro Henrique Bastos e Silva,Victoria Fulgêncio Queiroz,Talita Bastos Machado,Luis Adan Flores Andrade,Karine Lima Lourenço,Thaís Almeida M. Silva,Graziele Pereira Oliveira,Viviane de Souza Alves,Pedro Augusto Alves,Erna Geessien Kroon,Giliane de Souza Trindade,Betânia Paiva Drumond +23 more
TL;DR: The data indicated the contamination of public surfaces by SARS-CoV-2, suggesting the circulation of infected patients and the risk of infection for the population.
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Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data.
Fernanda S. H. Souza,Natália Satchiko Hojo-Souza,Edimilson Batista dos Santos,Cristiano M. Silva,Daniel L. Guidoni +4 more
- 13 Aug 2021
TL;DR: Machine learning techniques fed with demographic and clinical data along with comorbidities of the patients can assist in the prognostic prediction and physician decision-making, allowing a faster response and contributing to the non-overload of healthcare systems.