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Comparative analysis of machine learning and regularized regression models for predicting cardiovascular outcomes in patients with type 2 diabetes after acute coronary syndrome

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By António S. Barros, Nicolas Girerd, Abhinav Sharma, Kevin Duarte, Kévin Duarte, João Sérgio Neves, Adelino Leite-Moreira, William White, Faiez Zannad, Joao Ferreira, João Pedro Ferreira
| Nature Verified
Abstract Identifying type 2 diabetes (T2D) patients at high cardiovascular risk following acute coronary syndrome (ACS) remains challenging despite treatment advances. We systematically compared machine learning and regularized regression methods for predicting cardiovascular outcomes using data from the EXAMINE trial (NCT00968708).
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