Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Victor Muniz De Freitas"'
Autor:
Pedro Maciel de Toledo Piza, Victor Muniz de Freitas, Isabella Aguiar-Brito, Barbara Monique Calsolari-Oliveira, Érika Bevilaqua Rangel
Publikováno v:
Biomedicines, Vol 12, Iss 9, p 1997 (2024)
Background: Sodium disturbances are observed in one-third of patients with COVID-19 and result from multifaceted mechanisms. Notably, hyponatremia is associated with disease progression and mortality. Aim: We aimed to analyze the impact of hyponatrem
Externí odkaz:
https://doaj.org/article/2ff6081166a54f229282f003858af01d
Autor:
Daniela Mendes Chiloff, Victor Muniz de Freitas, Natália Borges Cardin, Camila Bianchi Matiuzzi, João Aléssio Juliano Perfeito, Emilia Inoue Sato, Marcus Vinicius Malheiros Luzo, Manoel João Batista Castello Girão, Aécio Flávio Teixeira Góis
Publikováno v:
MedEdPublish, Vol 9, Iss 1 (2020)
Introduction: On March 18, 2020, in face of COVID-19 pandemic and the suspension of in-person activities by the Board of the Paulista School of Medicine (EPM), students on clinical rotations (5th and 6th grades) organized themselves to support the lo
Externí odkaz:
https://doaj.org/article/e90736ec236d4766819a0ff97f552dae
Autor:
João Vitor Gontijo Araujo, Paulo Matheus Casal de Souza, Raquel Maria Neves Amorim, Úrsula Vizzoni de Albuquerque, Augusto Victor Muniz de Freitas, Anna Luiza Soares Guimarães, Bianca Bastos Miranda, Priscila Lima do Nascimento, Caio Eduardo Ferraz Braga, Leandro Pessotti de Deus
Publikováno v:
Brazilian Journal of Development. 8:65650-65666
A hipertensão arterial sistêmica (HAS) corresponde à doença crônica mais prevalente no mundo - com cerca de 800 milhões de adultos portadores da doença. Além disso, representa também o fator de risco modificável mais importante para morbida
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0764dfe3f85c90f0e57d71fa7b933161
https://doi.org/10.34117/bjdv8n10-049
https://doi.org/10.34117/bjdv8n10-049
Autor:
Victor Muniz De Freitas, Daniela Mendes Chiloff, Giulia Gabriella Bosso, Janaina Oliveira Pires Teixeira, Isabele Cristina de Godói Hernandes, Maira do Patrocínio Padilha, Giovanna Corrêa Moura, Luis Gustavo Modelli De Andrade, Frederico Mancuso, Francisco Estivallet Finamor, Aluísio Marçal de Barros Serodio, Jaquelina Sonoe Ota Arakaki, Marair Gracio Ferreira Sartori, Paulo Roberto Abrão Ferreira, Érika Bevilaqua Rangel
Publikováno v:
Journal of Clinical Medicine; Volume 11; Issue 15; Pages: 4574
A machine learning approach is a useful tool for risk-stratifying patients with respiratory symptoms during the COVID-19 pandemic, as it is still evolving. We aimed to verify the predictive capacity of a gradient boosting decision trees (XGboost) alg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a746646696b71a00444d92cd2f98286
https://pubmed.ncbi.nlm.nih.gov/35956189
https://pubmed.ncbi.nlm.nih.gov/35956189