Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Marcia, Ito"'
Autor:
Leandro Manuel Reis Velloso, Mailson Fontes de Carvalho, Gabriela Momberg Araújo, Johne Marcus Jarske, Luciano Anísio Garcia, Luiz Sérgio de Souza, Marcia Ito, Solange Nice Alves-Souza, Tânia Letícia dos Santos, Henrique Mathias Fernandes, Lucia Vilela Leite Filgueiras
Publikováno v:
InfoDesign: Brazilian Journal of Information Design, Vol 20, Iss 1 (2023)
This paper presents contributions from using remote collaborative sketching to infovis for public health. The results come from an interdisciplinary study that involved designers, health researchers, public managers and computer scientists in the pro
Externí odkaz:
https://doaj.org/article/0d4012e9f1434045bc00e20590fb0d9c
Autor:
Lisiane Freitas Leal, Claudia Garcia Serpa Osorio-de-Castro, Luiz Júpiter Carneiro de Souza, Felipe Ferre, Daniel Marques Mota, Marcia Ito, Monique Elseviers, Elisangela da Costa Lima, Ivan Ricardo Zimmernan, Izabela Fulone, Monica Da Luz Carvalho-Soares, Luciane Cruz Lopes
Publikováno v:
Frontiers in Pharmacology, Vol 12 (2022)
Background: In Brazil, studies that map electronic healthcare databases in order to assess their suitability for use in pharmacoepidemiologic research are lacking. We aimed to identify, catalogue, and characterize Brazilian data sources for Drug Util
Externí odkaz:
https://doaj.org/article/158c779266e3494382d1adbafb1bba54
Autor:
Craig Kuziemsky, Inga Hunter, Jai Ganesh Udayasankaran, Prasad Ranatunga, Gumindu Kulatunga, Sheila John, Oommen John, José F. Flórez-Arango, Marcia Ito, Kendall Ho, Shahi B. Gogia, Kleber Araujo, Vije Kumar Rajput, Wouter J. Meijer, Arindam Basu
Publikováno v:
Yearbook of Medical Informatics. 31:060-066
Objective: The goal of this paper is to provide a consensus review on telehealth delivery prior to and during the COVID-19 pandemic to develop a set of recommendations for designing telehealth services and tools that contribute to system resilience a
Publikováno v:
Anais do XXII Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2022).
International Classification of Diseases (ICD) codes are used for different management activities in hospitals. Previous researches employed Machine Learning (ML) models for automatic coding to simplify the disease code assignation process; neverthel
Autor:
Luiz Sérgio de Souza, Solange Alves-Souza, Lucia Filgueiras, Leandro Velloso, Mailson Fontes de Carvalho, Luciano Garcia, Marcia Ito, Johne Jarske, Tânia Santos, Henrique Fernandes, Gabriela Araújo, Wesley Barbosa
Publikováno v:
Proceedings of the 3rd International Conference on Deep Learning Theory and Applications.
Autor:
Lisiane Freitas Leal, Claudia Garcia Serpa Osorio-de-Castro, Luiz Júpiter Carneiro de Souza, Felipe Ferre, Daniel Marques Mota, Marcia Ito, Monique Elseviers, Elisangela da Costa Lima, Ivan Ricardo Zimmernan, Izabela Fulone, Monica Da Luz Carvalho-Soares, Luciane Cruz Lopes
Publikováno v:
Frontiers in Pharmacology
Frontiers in Pharmacology, Vol 12 (2022)
Frontiers in Pharmacology, Vol 12 (2022)
Background: In Brazil, studies that map electronic healthcare databases in order to assess their suitability for use in pharmacoepidemiologic research are lacking. We aimed to identify, catalogue, and characterize Brazilian data sources for Drug Util
Autor:
Solange N. Alves-Souza, Marcia Ito, Luiz Sergio de Souza, Leandro Manuel Reis Velloso, Átila Szczecinsky Rodrigues, Gabriela Momberg Araújo, Átila Szczecinsky Rodrigues Fernandes, Lucia Vilela Leite Filgueiras, Henrique Mathias Fernandes, Solange N. Alves de Souza, Luciano Anísio Garcia, Mailson Fontes de Carvalho, Johne Marcus Jaske, Tania Letícia dos Santos
Publikováno v:
Blucher Design Proceedings.
Autor:
Mayara Silva, Nathalia Santos, Caroline Rosa, Marcelo Santos, Marcia Ito, Alex Vieira, Artur Ziviani, Roberto Oliveira
Publikováno v:
Anais Principais do Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2020).
Neste artigo, são analisadas as trajetórias de atendimento de pacientes na rede de atenção básica de saúde no município de São Paulo. Avaliar como é a trajetória dos pacientes do SUS, seja entre os atendimentos, seja entre as unidades de at
Autor:
Craig, Kuziemsky, Anthony J, Maeder, Oommen, John, Shashi B, Gogia, Arindam, Basu, Sushil, Meher, Marcia, Ito
Publikováno v:
Yearbook of Medical Informatics
Summary Objectives : This paper provides a discussion about the potential scope of applicability of Artificial Intelligence methods within the telehealth domain. These methods are focussed on clinical needs and provide some insight to current directi
Publikováno v:
Anais do Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS).
Redes de atençãoá saúde formam um sistema complexo. Atualmente há uma tendência crescente de aplicação de métodos de análise de redes complexas para modelar e analisar tais sistemas. Essa abordagem possibilita o estudo do fluxo de atendimen