Well Referenced

Tag: cardiovascular risk prediction

Coronary Calcium Characteristics as Predictors of Major Adverse Cardiac Events in Symptomatic Patients: Insights From the CORE 320 Multinational Study

This 2019 analysis from the CORE 320 trial assessed 379 symptomatic patients aged 45–85 undergoing coronary artery calcium (CAC) scanning and CT angiography to evaluate the predictive value of different CAC metrics for major adverse cardiac events (MACE) over a two-year follow-up. Among the parameters studied—Agatston score, calcium volume, area,

Read More »
June 26, 2025 No Comments

Cardiovascular Event Prediction by Machine Learning: The Multi-Ethnic Study of Atherosclerosis

This 2017 study utilized data from 6,814 participants in the Multi-Ethnic Study of Atherosclerosis (MESA) to evaluate the effectiveness of machine learning, specifically random survival forests, in predicting six cardiovascular outcomes over a 12-year follow-up. Incorporating 735 variables from imaging, biomarker panels, ECG, and questionnaires, the machine learning models outperformed

Read More »
June 26, 2025 No Comments