Tag: risk prediction
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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…
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CORE Model: Simple Blood Tests Predict Liver Disease Risk
What is the CORE model? A new tool, the CORE model, is being developed to help primary care teams assess the risk of serious liver diseases. The aim is to identify patients who are at higher risk of conditions such as cirrhosis, liver cancer, or the potential need for a liver transplant within the next…