Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/103994
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Pina, Ana F | - |
dc.contributor.author | Meneses, Maria João | - |
dc.contributor.author | Sousa-Lima, Inês | - |
dc.contributor.author | Henriques, Roberto | - |
dc.contributor.author | Raposo, João F | - |
dc.contributor.author | Macedo, Maria Paula | - |
dc.date.accessioned | 2022-12-14T17:41:44Z | - |
dc.date.available | 2022-12-14T17:41:44Z | - |
dc.date.issued | 2022-10-17 | - |
dc.identifier.issn | 0014-2972 | pt |
dc.identifier.issn | 1365-2362 | pt |
dc.identifier.uri | https://hdl.handle.net/10316/103994 | - |
dc.description.abstract | Type 2 Diabetes (T2D) diagnosis is based solely on glycaemia, even though it is an endpoint of numerous dysmetabolic pathways. Type 2 Diabetes complexity is challenging in a real-world scenario; thus, dissecting T2D heterogeneity is a priority. Cluster analysis, which identifies natural clusters within multidimensional data based on similarity measures, poses a promising tool to unravel Diabetes complexity. | pt |
dc.language.iso | por | pt |
dc.relation | PD/BD/136887/2018 | pt |
dc.relation | PTDC/MEC-MET/29314/2017 | pt |
dc.relation | PTDC/BIM-MET/2115/2014 | pt |
dc.relation | UIDB/Multi/04462/2020 | pt |
dc.relation | mtFOIE GRAS (734719) | pt |
dc.rights | embargoedAccess | pt |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | pt |
dc.subject | big data; cluster analysis; diabetes; machine learning | pt |
dc.title | Big data and machine learning to tackle diabetes management | pt |
dc.type | article | - |
degois.publication.firstPage | e13890 | pt |
degois.publication.issue | 1 | pt |
dc.relation.publisherversion | https://onlinelibrary.wiley.com/doi/10.1111/eci.13890 | pt |
dc.peerreviewed | yes | pt |
dc.identifier.doi | 10.1111/eci.13890 | pt |
degois.publication.volume | 53 | pt |
dc.date.embargo | 2023-10-17 | * |
uc.date.periodoEmbargo | 365 | pt |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | pt | - |
item.openairetype | article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | Com Texto completo | - |
crisitem.author.orcid | 0000-0002-2549-0275 | - |
Appears in Collections: | I&D CNC - Artigos em Revistas Internacionais |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
BigDataandMachineLearning.pdf | 1.24 MB | Adobe PDF | View/Open |
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