Automatic classification of magnetocardiograms with Machine Learning approach

Medicine and Dentistry

• Accuracy 20%
• Analysis 30%
• Athletic Training 10%
• Coronary Angiography 10%
• Electrocardiogram 10%
• Enalapril Maleate 10%
• Experience 10%
• Heart 10%
• Heart Disease 10%
• Heart Muscle Ischemia 10%
• Inpatient 20%
• Ischemic Heart Disease 40%
• Learning 100%
• Magnetocardiography 10%
• Nonischemic Cardiomyopathy 10%
• Normal ECG 10%
• Patient 40%
• Physical Examination 10%
• Quantitative Analysis 10%
• Repolarization 50%
• Rest 20%
• Trigger Point 10%

Nursing and Health Professions

• Analysis 30%
• Calculation 10%
• Cardiologist 20%
• Classification 30%
• Computer 10%
• Control 10%
• Coronary Angiography 10%
• Devices 10%
• Electrocardiogram 10%
• Enalapril Maleate 10%
• Filter 10%
• Heart Disease 10%
• Heart Muscle Ischemia 10%
• Ischemic Heart Disease 40%
• Kernel Method 30%
• Magnetocardiography 10%
• Noise 10%
• Nonischemic Cardiomyopathy 10%
• Parameters 20%
• Physical Examination 10%
• Predictive Value 10%
• Procedures 20%
• Quantitative Analysis 10%
• Recording 30%
• Sampling 10%
• Time 20%