Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Josep Antoni Martín-Fernández"'
Publikováno v:
Mathematics, Vol 12, Iss 9, p 1388 (2024)
The Least Absolute Shrinkage and Selection Operator (LASSO) regression technique has proven to be a valuable tool for fitting and reducing linear models. The trend of applying LASSO to compositional data is growing, thereby expanding its applicabilit
Externí odkaz:
https://doaj.org/article/84a5fd8f7128482989f254a37dc8fb4e
Autor:
Alvis Cabrera, Ernesto Estremera, Aleix Beneyto, Lyvia Biagi, Iván Contreras, Josep Antoni Martín-Fernández, Josep Vehí
Publikováno v:
Mathematics, Vol 11, Iss 21, p 4517 (2023)
This paper presents an individualized multiple linear regression model based on compositional data where we predict the mean and coefficient of variation of blood glucose in individuals with type 1 diabetes for the long-term (2 and 4 h). From these p
Externí odkaz:
https://doaj.org/article/0bf08219b1574c05a4c2821f7ee00bdb
Autor:
Alvis Cabrera, Lyvia Biagi, Aleix Beneyto, Ernesto Estremera, Iván Contreras, Marga Giménez, Ignacio Conget, Jorge Bondia, Josep Antoni Martín-Fernández, Josep Vehí
Publikováno v:
Mathematics, Vol 11, Iss 5, p 1241 (2023)
Glycemia assessment in people with type 1 diabetes (T1D) has focused on the time spent in different glucose ranges. As this time reflects the relative contributions to the finite duration of a day, it should be treated as compositional data (CoDa) th
Externí odkaz:
https://doaj.org/article/9838982cf7b441e7b33d935a43bfc373
Autor:
Lyvia Biagi, Arthur Bertachi, Marga Giménez, Ignacio Conget, Jorge Bondia, Josep Antoni Martín-Fernández, Josep Vehí
Publikováno v:
Sensors, Vol 21, Iss 11, p 3593 (2021)
The time spent in glucose ranges is a common metric in type 1 diabetes (T1D). As the time in one day is finite and limited, Compositional Data (CoDa) analysis is appropriate to deal with times spent in different glucose ranges in one day. This work p
Externí odkaz:
https://doaj.org/article/07bd58bce398457dbad34c4e84185a91
Autor:
Dorothea Dumuid, Tyman E. Stanford, Željko Pedišić, Carol Maher, Lucy K. Lewis, Josep-Antoni Martín-Fernández, Peter T. Katzmarzyk, Jean-Philippe Chaput, Mikael Fogelholm, Martyn Standage, Mark S. Tremblay, Timothy Olds
Publikováno v:
BMC Public Health, Vol 18, Iss 1, Pp 1-10 (2018)
Abstract Background Daily activity data are by nature compositional data. Accordingly, they occupy a specific geometry with unique properties that is different to standard Euclidean geometry. This study aimed to estimate the difference in adiposity a
Externí odkaz:
https://doaj.org/article/7bab7f4866d74879b9ba2f7899cf5ca9
Autor:
Lyvia Regina Biagi Silva Bertachi, Ignacio Conget, Ernesto Estremera Toledo, Josep Antoni Martín-Fernández, Jorge Bondia, Aleix Beneyto Tantiña, Josep Vehi, Marga Giménez, Ivan Contreras, Alvis Cabrera Tejera
Publikováno v:
Mathematics
Volume 11
Issue 5
Pages: 1241
Volume 11
Issue 5
Pages: 1241
Glycemia assessment in people with type 1 diabetes (T1D) has focused on the time spent in different glucose ranges. As this time reflects the relative contributions to the finite duration of a day, it should be treated as compositional data (CoDa) th
Publikováno v:
Journal of Geochemical Exploration. 245:107142
Autor:
Josep Antoni Martín-Fernández, Ron S. Kenett, Peter J Simm, Tim Olds, Melissa Wake, Susan Ellul, Louise A. Baur, Dorothea Dumuid
Publikováno v:
Statistical Methods in Medical Research. 30:331-346
Human body composition is made up of mutually exclusive and exhaustive parts (e.g. %truncal fat, %non-truncal fat and%fat-free mass) which are constrained to sum to the same total (100%). In statistical analyses, individual parts of body composition
Publikováno v:
Natural Resources Research. 30:3045-3058
Compositional data carry relative information. Hence, their statistical analysis has to be performed on coordinates with respect to a log-ratio basis. Frequently, the modeler is required to back-transform the estimates obtained with the modeling to h
Publikováno v:
Quality and Reliability Engineering International, 2022, vol. 38, núm. 3, p. 1327-1339
Articles publicats (D-IMA)
DUGiDocs – Universitat de Girona
instname
Articles publicats (D-IMA)
DUGiDocs – Universitat de Girona
instname
Association rule mining is a powerful data analytic technique used for extracting information from transaction databases with a collection of itemsets. The aim is to indicate what item goes with what item (ie, an association rule) in a set of collect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee835036aaac33570a71bc9f1b0c610d
http://hdl.handle.net/10256/19751
http://hdl.handle.net/10256/19751