Tag: external validation
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Development and external validation of a machine learning-based model for predicting heart failure risk in Chinese adults with type 2 diabetes
Introduction Type 2 diabetes mellitus (T2DM) is a growing public health concern in China, affecting an estimated 11.2% of the adult population and acting as an independent risk factor for heart failure (HF). The close link between T2DM and HF has driven interest in data-driven approaches that can identify high-risk patients early. This article summarizes…
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Developing and Validating a Machine Learning Model to Predict Heart Failure Risk in Chinese Adults with Type 2 Diabetes
Overview Type 2 diabetes mellitus (T2DM) remains a major public health challenge in China, affecting a substantial portion of the adult population and acting as an independent risk factor for heart failure (HF). Recent work in this field focuses on leveraging machine learning (ML) to improve risk stratification and guide early interventions. This article summarizes…
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A Machine Learning Model to Predict Heart Failure Risk in Type 2 Diabetes: Development and External Validation
Overview Type 2 diabetes mellitus (T2DM) significantly increases the risk of heart failure (HF), posing a major challenge for clinicians managing cardiovascular health in diabetic patients. In China, where T2DM affects a substantial share of the adult population, accurate risk stratification is essential to guide preventive strategies and optimize resource allocation. Recent research has focused…