Article

Clustering of adult-onset diabetes into novel subgroups guides therapy and improves prediction of outcome

2017-09-08

Abstract excerpt

<h4>Background</h4> Diabetes is presently classified into two main forms, type 1 (T1D) and type 2 diabetes (T2D), but especially T2D is highly heterogeneous. A refined classification could provide a powerful tool individualize treatment regimes and identify individuals with increased risk of complications already at diagnosis. <h4>Methods</h4> We applied data-driven cluster analysis (k-means and hierarchical clu...

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Literature Corpus work: 4d3098f0-f511-533e-aebf-be99cd235c7b
DOI: 10.1101/186387

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