Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Johnatan Cardona Jiménez"'
Autor:
Oscar Ignacio Mendoza Cardozo, Juan Pablo Pérez Bedoya, Lina Marcela Ruiz Galvis, Carlos Andrés Pérez Aguirre, Boris Anghelo Rodríguez Rey, Noël Christopher Barengo, Johnatan Cardona Jiménez, Paula Andrea Díaz Valencia
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
Socioeconomic disparities play an important role in the development of severe clinical outcomes including deaths from COVID-19. However, the current scientific evidence in regard the association between measures of poverty and COVID-19 mortality in h
Externí odkaz:
https://doaj.org/article/b8e6cf5f2c324b9e8838e5ee31c50f50
Autor:
Lina Marcela Ruiz Galvis, Carlos Andrés Pérez Aguirre, Juan Pablo Pérez Bedoya, Oscar Ignacio Mendoza Cardozo, Noël Christopher Barengo, Juan Pablo Sánchez Escudero, Johnatan Cardona Jiménez, Paula Andrea Diaz Valencia
Publikováno v:
PLoS ONE, Vol 18, Iss 7, p e0278429 (2023)
Predictions of hospital beds occupancy depends on hospital admission rates and the length of stay (LoS) according to bed type (general ward -GW- and intensive care unit -ICU- beds). The objective of this study was to describe the LoS of COVID-19 hosp
Externí odkaz:
https://doaj.org/article/62c954e61e5145d0b236f75ca1865457
Publikováno v:
Economia Aplicada, Vol 17, Iss 4, Pp 543-556 (2013)
This paper uses count and binary data models with an endogenous dummy variable to evaluate the effect of the subsidized health care program in Medellin (Colombia). The subsidized program, which primarily covers poor people, is found to have a signifi
Externí odkaz:
https://doaj.org/article/08273a21c7684dda8ffef4411b4f494e
Background: Functional magnetic resonance imaging (fMRI) is a technique that has caught the attention of scientists since its appearance over thirty years ago. This tool allows for analyzing human brain activity through a sequence of magnetic resonan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05799547f40d7b641515ab095738278f
https://doi.org/10.21203/rs.3.rs-2849191/v1
https://doi.org/10.21203/rs.3.rs-2849191/v1
Publikováno v:
Journal of Clinical Monitoring and Computing. 36:687-702
In this work it is proposed a modeling for operating room times based on a Bayesian Hierarchical structure. Specifically, it is employed a Bayesian generalized linear mixed model with an additional hierarchical level on the random effects. This confi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45a0d59c5eb06c00cb320f7fb59e6038
https://doi.org/10.1007/s10877-021-00696-y
https://doi.org/10.1007/s10877-021-00696-y
Autor:
María Isabel Ardila Marín, Juan. S. Rudas, Edwin J. Núñez, Miguel A. Rodríguez, Juan G. Ardila, Johnatan Cardona Jiménez, Cesar Isaza
Publikováno v:
INGENIERÍA Y COMPETITIVIDAD. 24
Los centros de mecanizado demandan un alto consumo de energía afectando los costos de producción en las empresas que los emplean. Diferentes estudios relacionan múltiples factores de los centros de mecanizado con el consumo de energía, pero hasta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26d475bad7d1d8cda2ee152850c668a2
https://doi.org/10.25100/iyc.v24i02.11377
https://doi.org/10.25100/iyc.v24i02.11377
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
A modeling procedure for task-based functional magnetic resonance imaging (fMRI) data analysis using a Bayesian matrix-variate dynamic linear model (MVDLM) is presented. With this type of model, less complex than the more traditional temporal-spatial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb99c0f4b26aa9a5d35fe8d05c0a17ff
Autor:
Johnatan Cardona Jiménez
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Functional magnetic resonance imaging or functional MRI (fMRI) is a non-invasive way to assess brain activity by detecting changes associated with blood flow. In this thesis, we propose a fully Bayesian procedure to analyze fMRI data for individual a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8613c32da814fd6a80b043087fcad8d
https://doi.org/10.11606/t.45.2019.tde-17012020-155414
https://doi.org/10.11606/t.45.2019.tde-17012020-155414