Article
Type 1 Diabetes Risk Phenotypes Using Cluster Analysis
2023-10-12
Abstract excerpt
<h4>Background</h4> Although statistical models for predicting type 1 diabetes risk have been developed, approaches that reveal clinically meaningful clusters in the at-risk population and allow for non-linear relationships between predictors are lacking. We aimed to identify and characterize clusters of islet autoantibody-positive individuals that share similar characteristics and type 1 diabetes risk. <h4>Method...
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Identifiers and source
- Literature Corpus work
- b2b73293-a14d-5d8a-a643-85deaec22cf4
- DOI
- 10.1101/2023.10.10.23296375
