A diabetes minimal model for oral glucose tolerance tests

dc.audience researchers es_MX
dc.contributor.author J Andrés Christen, 0000-0002-5795-4345
dc.contributor.author Adriana Monroy, 0000-0003-0696-1227
dc.contributor.author Silvestre Alavez, 0000-0002-9220-0696
dc.contributor.other Capistrán, Marcos
dc.contributor.other Quintana Vargas, Silvia
dc.contributor.other Flores Arguedas, Hugo A.
dc.contributor.other Kuschinski, Nicolás
dc.coverage US es_MX
dc.date.accessioned 2018-06-26T05:38:50Z
dc.date.available 2018-06-26T05:38:50Z
dc.date.issued 2016
dc.description We present a minimal model for analyzing Oral Glucose Tolerance Test (OGTT) data base on system of 5 ODEs. The model has 4 unknown parameters which are inferred using a Bayesian approach. Preliminarily results are shown with three real patient data. es_MX
dc.format application/pdf es_MX
dc.identificador.materia 3 es_MX
dc.identifier.other https://arxiv.org/abs/1601.04753
dc.identifier.uri http://hdl.handle.net/20.500.12222/146
dc.language eng es_MX
dc.publisher Cornell University Library es_MX
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 Internacional *
dc.rights.license info:eu-repo/semantics/restrictedAccess es_MX
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ es_MX
dc.source.other arXiv (2016) es_MX
dc.source.other ISSN: 2331-8422 es_MX
dc.subject MEDICINA Y CIENCIAS DE LA SALUD es_MX
dc.subject.keywords Modelo es_MX
dc.subject.keywords Glucosa es_MX
dc.subject.keywords Bayesiano es_MX
dc.subject.keywords Pacientes es_MX
dc.subject.keywords Diabetes es_MX
dc.title A diabetes minimal model for oral glucose tolerance tests es_MX
dc.type article es_MX
dc.type.version info:eu-repo/semantics/publishedVersion es_MX
Files
Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
000022.pdf
Size:
1.38 MB
Format:
Adobe Portable Document Format
Description:
10 páginas
No Thumbnail Available
Name:
000022.xml
Size:
1.42 MB
Format:
Extensible Markup Language
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: