Development and validation of a prediction model based on machine learning algorithms for predicting the risk of heart failure in middle‐aged and older US people with prediabetes or diabetes
Clinical Cardiology2023Vol. 46(10), pp. 1234–1243
Citations Over TimeTop 10% of 2023 papers
Abstract
The risk of HF in middle-aged and elderly patients with prediabetes or diabetes can be accurately predicted using ML models. The best prediction performance is presented by RF model, which can assist doctors in making clinical decisions.
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