Tag: risk prediction
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AI-Driven CVD Prediction from Longitudinal Iran Data: Development and Validation
Overview Cardiovascular disease (CVD) remains a leading cause of mortality worldwide, with Iran experiencing particularly high rates. This article summarizes a study that develops and validates an artificial intelligence (AI) based model to predict CVD events using longitudinal health data collected over time. By leveraging deep learning and mixed-effects logistic modeling, the research aims to…
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Development and Validation of an AI-Based Model for Cardiovascular Disease Prediction in Iran Using Longitudinal Data
Overview Cardiovascular disease (CVD) remains a leading cause of mortality in Iran, underscoring the need for accurate, data-driven risk prediction tools. This study introduces an artificial intelligence (AI) based model designed to predict CVD events by leveraging longitudinal health data. By comparing advanced deep learning techniques with a traditional (yet sophisticated) mixed-effects logistic regression approach,…
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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…