Emboli Detection by machine learning algorithms using multi-level feature extraction

Keyphrases

• Feature Extraction 100%
• Machine Learning Algorithms 100%
• Emboli Detection 100%
• Multi-scale Feature Extraction 100%
• Mel Frequency Cepstral Coefficients 50%
• Cepstral Coefficients 50%
• Doppler Signal 50%
• Emboli 50%
• Artifact Signal 50%
• Speckle Signals 50%
• Biologically Inspired 25%
• Extraction Methods 25%
• Kurtosis Parameter 25%
• Preprocessing Techniques 25%
• Kurtosis 25%
• Skewness 25%
• Signal Detection 25%
• Least Squares Support Vector Regression (LSSVR) 25%
• Logistic Regression 25%
• Neighborhood Support 25%
• Feature Representation 25%
• Detector Response 25%
• Audio-Video 25%
• Evaluation Results 25%
• Confusion Matrix 25%
• Skewness Parameter 25%
• Cerebral Embolism 25%
• K-nearest 25%
• Information Features 25%
• Data Understanding 25%
• Biomedical Signal Analysis 25%
• Speech-Text 25%

Computer Science

• Machine Learning Algorithm 100%
• Feature Extraction 100%
• Mel Frequency Cepstral Coefficient 40%
• Cepstral Coefficient 40%
• Support Vector Machine 20%
• Logistic Regression 20%
• Preprocessing Technique 20%
• Evaluation Result 20%
• Signal Detection 20%
• Extracted Feature 20%
• Confusion Matrix 20%
• Biomedical Signal 20%
• Data Understanding 20%
• Independent Event 20%

Engineering

• Feature Extraction 100%
• Machine Learning Algorithm 100%
• Level Feature 100%
• Extracted Feature 20%
• Signal Detection 20%
• Front End 20%
• Speckle 20%
• Confusion Matrix 20%
• Independent Event 20%
• Isolation Method 20%
• Support Vector Machine 20%
• Nearest Neighbor 20%