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35 results

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1. FM-Net: A Fully Automatic Deep Learning Pipeline for Epicardial Adipose Tissue Segmentation

2. A Machine Learning Approach for Risk Prediction of Cardiovascular Disease

3. Maximizing Accuracy in AI-Driven Pattern Detection in Cardiac Care

5. Exploring Data Augmentation Strategies for Diagonal Earlobe Crease Detection

6. The SMART BEAR Project: An Overview of Its Infrastructure

7. Corpus Construction for Named-Entity and Entity Relations for Electronic Medical Records of Cardiovascular Disease

8. A General-Purpose Multi-stage Multi-group Machine Learning Framework for Knowledge Discovery and Decision Support

9. Computational Models for Prognosis of Medication for Cardiovascular Diseases

11. Cardiovascular Disease Classification Based on Machine Learning Algorithms Using GridSearchCV, Cross Validation and Stacked Ensemble Methods

14. Myocardial Infarction Analysis Using Deep Learning Neural Network Based on Image Processing Approach

16. Early Prediction of Cardiovascular Disease Using Machine Learning Algorithms

17. Sustainable IoHT-Based Machine Learning Modeled System for Prediction of Cardiovascular Disease Risk

18. Heart Disease Prediction Using Ensemble Techniques and Explainable AI Validation

19. Early Detection of Heart Attack Using Machine Learning

20. iCardo 3.0: A Machine Learning Framework for Prediction of Conduction Disturbance in Heart

21. A Hybrid Model for the Detection and Classification of Cardiovascular Diseases Based on Deep Learning and Optimization Techniques

22. Prediction of Cardiovascular Disease by Feature Selection and Machine Learning Techniques

23. The Impact of Systolic Blood Pressure Level and Comparative Study for Predicting Cardiovascular Diseases

25. Efficient Heart Disease Prediction Using Modified Hybrid Classifier

26. Cardio Vascular Disease Prediction Using Ensemble Machine Learning Techniques

28. ECG Signal Classification Based on Neural Network

29. Classification of Cardiovascular Disease Using AdaBoost Method

32. Wearable Electrocardiogram Feature Extraction for Real Time Monitoring Applications

33. A Machine Learning-Based Model for Predicting the Risk of Cardiovascular Disease

34. Improved Detection of Coronary Artery Disease Using DT-RFE Based Feature Selection and Ensemble Learning

35. A Comparative Analysis of Various Data Mining Techniques to Predict Heart Disease