T2D-LVDD: neural network-based predictive models for left ventricular diastolic dysfunction in type 2 diabetes
Abstract Cardiovascular disease complications are the leading cause of morbidity and mortality in patients with Type 2 diabetes (T2DM). Left ventricular diastolic dysfunction (LVDD) is one of the earliest myocardial characteristics of diabetic cardiac dysfunction. Therefore, we aimed to develop an L...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-05-01
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| Series: | Diabetology & Metabolic Syndrome |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13098-025-01714-8 |
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