ArticleBMC medical informatics and decision making2021
Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors.
Article in BMC medical informatics and decision making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Machine learning-enhanced echocardiography for screening coronary artery disease.Biomedical engineering online · 2023Trial
- Correlation between diastolic function and fundus vascular features in coronary heart disease.International journal of ophthalmology · 2026Article
- A machine learning model using echocardiographic myocardial strain to detect myocardial ischemia.Internal and emergency medicine · 2025Article
- Revolutionizing Cardiology: The Role of Artificial Intelligence in Echocardiography.Journal of clinical medicine · 2025Review
- Enhanced machine learning and hybrid ensemble approaches for Coronary Heart Disease prediction.PloS one · 2025Article
- Article
- Echocardiographic video-driven multi-task learning model for coronary artery disease diagnosis and severity grading.Frontiers in bioengineering and biotechnology · 2025Article
- Article
- Temporal Relationship-Aware Treadmill Exercise Test Analysis Network for Coronary Artery Disease Diagnosis.Sensors (Basel, Switzerland) · 2024Article
- Intelligent Chinese Medicine: A New Direction Approach for Integrative Medicine in Diagnosis and Treatment of Cardiovascular Diseases.Chinese journal of integrative medicine · 2023Article
- Machine learning predictive model for aspiration screening in hospitalized patients with acute stroke.Scientific reports · 2023Article
- Ensemble learning of myocardial displacements for myocardial infarction detection in echocardiography.Frontiers in cardiovascular medicine · 2023Article
- Predictive value of speckle tracking technique for coronary artery stenosis in patients with coronary heart disease.American journal of translational research · 2023Article
- Left Ventricular Segmental Strain Identifies Unique Myocardial Deformation Patterns After Intrinsic and Extrinsic Stressors in Mice.Ultrasound in medicine & biology · 2022Article
- Artificial Intelligence-Enhanced Echocardiography for Systolic Function Assessment.Journal of clinical medicine · 2022Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundExtensive clinical evidence suggests that a preventive screening of coronary heart disease (CHD) at an earlier stage can greatly reduce the mortality rate. We use 64 two-dimensional speckle tracking echocardiography (2D-STE) features and seven clinical features to predict whether one has CHD.
methodsWe develop a machine learning approach that integrates a number of popular classification methods together by model stacking, and generalize the traditional stacking method to a two-step stacking method to improve the diagnostic performance.
resultsBy borrowing strengths from multiple classification models through the proposed method, we improve the CHD classification accuracy from around 70-87.7% on the testing set. The sensitivity of the proposed method is 0.903 and the specificity is 0.843, with an AUC of 0.904, which is significantly higher than those of the individual classification models.
conclusionOur work lays a foundation for the deployment of speckle tracking echocardiography-based screening tools for coronary heart disease.
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