Factors associated with the quality of death certification in Brazilian municipalities: A data-driven non-linear model

Autor: Guilherme Augusto Zimeo Morais, João Luiz Miraglia, Bruno Zoca de Oliveira, Sóstenes Mistro, Wilian Hiroshi Hisatugu, Djeniffer Greffin, Clément Bernardo Marques, Eduardo Pontes Reis, Hugo Martins de Lima, Claudia Szlejf

Publikováno v: PLoS ONE, Vol 18, Iss 8 (2023)

Studies evaluating the local quality of death certification in Brazil focused on completeness of death reporting or inappropriate coding of causes of death, with few investigating missing data. We aimed to use missing and unexpected values in core to

Externí odkaz: https://doaj.org/article/cd8f930bdfab427b986b86b9e594454e

fNIRS Responses in Professional Violinists While Playing Duets: Evidence for Distinct Leader and Follower Roles at the Brain Level

Autor: Patricia Vanzella, Joana B. Balardin, Rogério A. Furucho, Guilherme Augusto Zimeo Morais, Thenille Braun Janzen, Daniela Sammler, João R. Sato

Publikováno v: Frontiers in Psychology, Vol 10 (2019)

Music played in ensembles is a naturalistic model to study joint action and leader-follower relationships. Recently, the investigation of the brain underpinnings of joint musical actions has gained attention; however, the cerebral correlates underlyi

Externí odkaz: https://doaj.org/article/cb11b651ec9a4b79846035c198dd92a8

Machine Learning based Pricing Methodology for the Logistic Domain: a Preliminary Approach

Autor: Marcelo Santos, Maickel Hubner, Antonio L. Amadeu, Eduardo M. Pereira, Fernando Vinturin, Guilherme A. Zimeo Morais

Publikováno v: Anais do XLVIII Seminário Integrado de Software e Hardware (SEMISH 2021).

In this work, we introduce a new methodology to discover logistic regions for pricing. We use value-based characteristics from different sources, such as demographic, socioeconomic, risk, transportation, among others, to find homogeneous and valuable

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9e71007db8e34f2e7e9eb4a0d48f899a
https://doi.org/10.5753/semish.2021.15819

Potential confounders in the analysis of Brazilian adolescent’s health: a combination of machine learning and graph theory

Autor: Guilherme Augusto Zimeo Morais, João Ricardo Sato, Amanda Yumi Ambriola Oku, Ana Paula Arantes Bueno, André Fujita

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
International Journal of Environmental Research and Public Health
Volume 17
Issue 1

The prevalence of health problems during childhood and adolescence is high in developing countries such as Brazil. Social inequality, violence, and malnutrition have strong impact on youth health. To better understand these issues we propose to combi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::180908959338f8dfba8a48532694bc59

Measuring cortical motor hemodynamics during assisted stepping – An fNIRS feasibility study of using a walker

Autor: João Ricardo Sato, Daniel Boari Coelho, Guilherme Augusto Zimeo Morais, Luis Augusto Teixeira, Nametala Maia Azzi, Joana Bisol Balardin, Andrea Cristina de Lima-Pardini

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

Walkers are commonly prescribed worldwide to individuals unable to walk independently. Walker usage leads to improved postural control and voluntary movement during step. In the present study, we aimed to provide a concept-proof on the feasibility of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53c9fcb72e4f3aa5e53d7d9e380425fa
https://doi.org/10.1016/j.gaitpost.2017.05.018