Keyphrases
Systems-based
96%
Emboli Detection
86%
Parkinson's Disease
77%
Detection System
67%
Emboli
63%
Dual-tree Complex Wavelet Transform (DT-CWT)
57%
Parkinson Patients
55%
Telediagnosis
53%
Discrete Wavelet Transform
40%
Dual-tree
38%
Ensemble Learning
38%
Parkinson's Disease Diagnosis
38%
Feature Selection Methods
36%
Multiple Classifier System
36%
Microembolic Signals
34%
Unified Parkinson's Disease Rating Scale (UPDRS)
34%
Machine Learning Techniques
34%
Vocal Features
32%
Transformative Learning
28%
Abrupt Change
28%
Ozon
28%
Tunable Q-factor Wavelet Transform
28%
Similarity Classifier
28%
Speech Processing
28%
Signal Processing Algorithms
28%
Bad Credit
28%
Variable Importance Analysis
28%
Default Prediction
28%
Wrapper Feature Selection
28%
Dysphonia Measurements
28%
Rational Dilation Wavelet Transform
28%
Parkinson's Dataset
28%
Sustained Vowels
28%
Sound Recording
28%
Microemboli
28%
Imbalanced Data
28%
Comparative Analysis
28%
Method Validation
28%
Level Change
28%
Classification System
28%
Optimal Threshold
28%
Doppler Ultrasound
28%
Dimensionality Reduction
27%
High Performance
26%
Turkey
24%
Boruta
24%
Voice Recording
24%
Speech Impairment
23%
Support Vector Machine
22%
Feature Extraction
20%
Computer Science
Wavelet Transforms
100%
Parkinson's Disease
86%
Support Vector Machine
72%
Dual-Tree Complex Wavelet Transform
57%
Feature Extraction
49%
Feature Selection
48%
Ensemble Learning
39%
multiple classifier
32%
Rating Scale
28%
Machine Learning Technique
28%
Validation Method
28%
Optimal Threshold
28%
Signal Processing Algorithm
28%
Random Decision Forest
28%
Comparative Analysis
28%
Disease Patient
24%
Dimensionality Reduction
23%
Multilayer Perceptron
21%
Fast Fourier Transform
17%
Logistic Regression
16%
Extracted Feature
15%
Class Imbalance Problem
14%
Experimental Result
14%
Binary Classification
14%
Signal Detection
14%
Reduction Algorithm
11%
Detection Rate
11%
Linear Discriminant Analysis
11%
Detection Method
11%
Classification Accuracy
11%
k-Nearest Neighbors Algorithm
9%
Logistic Regression Model
9%
Predictor Variable
9%
Predictive Model
9%
Financial Sector
9%
Step Methodology
9%
Machine Learning Algorithm
9%
Data Mining Technique
9%
Selection Phase
9%
Artificial Neural Network
9%
Neural Network Model
9%
Pattern Detection
9%
Machine Learning
9%
Learning System
9%
Frequency Resolution
7%
Complex Wavelet
7%
Training Sample
7%
Classification Algorithm
7%
Prediction Performance
7%
Validation Set
7%
