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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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Literature Corpus work
b2b73293-a14d-5d8a-a643-85deaec22cf4
DOI
10.1101/2023.10.10.23296375
Open publication

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Type 1 Diabetes Risk Phenotypes Using Cluster AnalysisDOI 10.1101/2023.10.10.23296375
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