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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...
Autores principales: | Lugner, Moa, Gudbjörnsdottir, Soffia, Sattar, Naveed, Svensson, Ann-Marie, Miftaraj, Mervete, Eeg-Olofsson, Katarina, Eliasson, Björn, Franzén, Stefan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
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 |
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