Comparison between data-driven clusters and models based on clinical features to predict outcomes in type 2 diabetes: nationwide observational study

AIMS/HYPOTHESIS: Research using data-driven cluster analysis has proposed five novel subgroups of diabetes based on six measured variables in individuals with newly diagnosed diabetes. Our aim was (1) to validate the existence of differing clusters within type 2 diabetes, and (2) to compare the clus...

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Detalles Bibliográficos
Autores principales: Lugner, Moa, Gudbjörnsdottir, Soffia, Sattar, Naveed, Svensson, Ann-Marie, Miftaraj, Mervete, Eeg-Olofsson, Katarina, Eliasson, Björn, Franzén, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8382658/
https://www.ncbi.nlm.nih.gov/pubmed/34059937
http://dx.doi.org/10.1007/s00125-021-05485-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8382658/
https://www.ncbi.nlm.nih.gov/pubmed/34059937
http://dx.doi.org/10.1007/s00125-021-05485-5

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