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Identifying and ranking novel independent features for cardiovascular disease prediction in people with type 2 diabetes

2023-10-23

Abstract excerpt

<h4>Background</h4> CVD prediction models do not perform well in people with diabetes. We therefore aimed to identify novel predictors for six facets of CVD, (including coronary heart disease (CHD), Ischemic stroke, heart failure (HF), and atrial fibrillation (AF)) in people with T2DM. <h4>Methods</h4> Analyses were conducted using the UK biobank and were stratified on history of CVD and of T2DM: 459,142 participa...

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Literature Corpus work
6fca12e7-f2a9-522d-8d8c-da04607f4596
DOI
10.1101/2023.10.23.23297398
Open publication

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Identifying and ranking novel independent features for cardiovascular disease prediction in people with type 2 diabetesDOI 10.1101/2023.10.23.23297398
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