Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Steren Chabert"'
Publikováno v:
BioData Mining, Vol 17, Iss 1, Pp 1-17 (2024)
Abstract The use of prior knowledge in the machine learning framework has been considered a potential tool to handle the curse of dimensionality in genetic and genomics data. Although random forest (RF) represents a flexible non-parametric approach w
Externí odkaz:
https://doaj.org/article/972d507c1ab24d65864c10a91e6f6f4c
Autor:
Ayleen Bertini, Bárbara Gárate, Fabián Pardo, Julie Pelicand, Luis Sobrevia, Romina Torres, Steren Chabert, Rodrigo Salas
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
Introduction: In Chile, 1 in 8 pregnant women of middle socioeconomic level has gestational diabetes mellitus (GDM), and in general, 5–10% of women with GDM develop type 2 diabetes after giving birth. Recently, various technological tools have emer
Externí odkaz:
https://doaj.org/article/f17c42d45bad4029a179e2af284e00d4
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 9 (2022)
Introduction: Artificial intelligence is widely used in medical field, and machine learning has been increasingly used in health care, prediction, and diagnosis and as a method of determining priority. Machine learning methods have been features of s
Externí odkaz:
https://doaj.org/article/a36c948e5a4b41ecb53c7aa4594445fd
Autor:
Patricio Solis-Urra, Jorge Olivares-Arancibia, Ernesto Suarez-Cadenas, Javier Sanchez-Martinez, Fernando Rodríguez-Rodríguez, Francisco B. Ortega, Irene Esteban-Cornejo, Cristina Cadenas-Sanchez, Jose Castro-Piñero, Alejandro Veloz, Steren Chabert, Kabir P. Saradangani, Juan Pablo Zavala-Crichton, Jairo H. Migueles, Jose Mora-Gonzalez, Milton Quiroz-Escobar, Diego Almonte-Espinoza, Alfonso Urzúa, Constantino D. Dragicevic, Aland Astudillo, Eduardo Méndez-Gassibe, Daniel Riquelme-Uribe, Marcela Jarpa Azagra, Carlos Cristi-Montero
Publikováno v:
BMC Pediatrics, Vol 19, Iss 1, Pp 1-16 (2019)
Abstract Background Education and health are crucial topics for public policies as both largely determine the future wellbeing of the society. Currently, several studies recognize that physical activity (PA) benefits brain health in children. However
Externí odkaz:
https://doaj.org/article/27b9493d73ab44c1b22285f15e3d6b95
Autor:
Steren Chabert, Juan Sebastian Castro, Leonardo Muñoz, Pablo Cox, Rodrigo Riveros, Juan Vielma, Gamaliel Huerta, Marvin Querales, Carolina Saavedra, Alejandro Veloz, Rodrigo Salas
Publikováno v:
Applied Sciences, Vol 11, Iss 14, p 6616 (2021)
Medical image quality is crucial to obtaining reliable diagnostics. Most quality controls rely on routine tests using phantoms, which do not reflect closely the reality of images obtained on patients and do not reflect directly the quality perceived
Externí odkaz:
https://doaj.org/article/7cd9cc435ceb4fddb0431599232e1778
Autor:
Steren Chabert, Tomás Mardones, Rodrigo Riveros, Maximiliano Godoy, Alejandro Veloz, Rodrigo Salas, Pablo Cox
Publikováno v:
Research Ideas and Outcomes, Vol 3, Iss , Pp 1-14 (2017)
Cerebral aneurysm is a cerebrovascular disorder characterized by a bulging in a weak area in the wall of an artery that supplies blood to the brain. It is relevant to understand the mechanisms leading to the apparition of aneurysms, their growth and,
Externí odkaz:
https://doaj.org/article/2ce6bddbd2094026a744822f53b06cd9
Autor:
Patricio Solis-Urra, Jorge Olivares-Arancibia, Ernesto Suarez-Cadenas, Javier Sanchez-Martinez, Fernando Rodríguez-Rodríguez, Francisco B. Ortega, Irene Esteban-Cornejo, Cristina Cadenas-Sanchez, Jose Castro-Piñero, Alejandro Veloz, Steren Chabert, Kabir P. Sadarangani, Juan Pablo Zavala-Crichton, Jairo H. Migueles, Jose Mora-Gonzalez, Milton Quiroz-Escobar, Diego Almonte-Espinoza, Alfonso Urzúa, Constantino D. Dragicevic, Aland Astudillo, Eduardo Méndez-Gassibe, Daniel Riquelme-Uribe, Marcela Jarpa Azagra, Carlos Cristi-Montero
Publikováno v:
BMC Pediatrics, Vol 21, Iss 1, Pp 1-1 (2021)
Externí odkaz:
https://doaj.org/article/aeffef1b536b4a09baf2fa5af8c95a2e
Publikováno v:
Algorithms, Vol 12, Iss 10, p 206 (2019)
Deep learning models are part of the family of artificial neural networks and, as such, they suffer catastrophic interference when learning sequentially. In addition, the greater number of these models have a rigid architecture which prevents the inc
Externí odkaz:
https://doaj.org/article/4c1b6cc1d3d0445f9ed98cd0778b41f3
Publikováno v:
Revista Chilena de Radiología, Vol 16, Iss 2, Pp 64-69 (2010)
Nuestro objetivo fue implementar un protocolo de estimulación en resonancia magnética funcional en un Hospital de Valparaíso, V Región de Chile, para detectar las áreas corticales activadas en la comprensión del lenguaje oral. Siete voluntarios
Externí odkaz:
https://doaj.org/article/b21fd8119bf9499b958b1404b7caf238
Autor:
STEREN CHABERT, PAOLA SCIFO
Publikováno v:
Biological Research, Vol 40, Iss 4, Pp 385-400 (2007)
Diffusion Magnetic Resonance Imaging provides images of unquestionable diagnostic value. It is commonly used in the assessment of stroke and in white matter fiber tracking, among other applications. The diffusion coefficient has been shown to depend
Externí odkaz:
https://doaj.org/article/3fd2521c767c47d98e9146fd1eade985