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Clasificar por
Keyphrases
Support Vector Machine
100%
Myocardial Infarction Detection
100%
Electrocardiogram
100%
Electrocardiogram Signal
42%
Classification Accuracy
28%
Morphological Characteristics
28%
Temporal Features
28%
12-lead Electrocardiogram
28%
Myocardial Infarction
28%
SVM Classifier
28%
T-complex
28%
QT Interval
28%
Mathematical Operations
28%
Healthy Controls
14%
Wavelet Transform
14%
Feature Extraction
14%
Cause of Death
14%
P-wave
14%
Single-lead Electrocardiogram
14%
Monte Carlo Cross-validation
14%
QRS Complex
14%
RR Interval
14%
Classification Performance
14%
Skewness
14%
Error Rate
14%
Classification Results
14%
QRS Duration
14%
Binary SVM
14%
Complex Intervals
14%
Transform Based Method
14%
Wave Duration
14%
P-wave Velocity
14%
T-wave
14%
Electrocardiogram Recording
14%
Balanced Class
14%
Binary Classifier
14%
Computer Science
Support Vector Machine
100%
Support Vector Machine
100%
Wavelet Transforms
50%
Temporal Feature
50%
Reproducibility
50%
classification result
50%
Classification Accuracy
50%
Healthy Control
50%
Extracted Feature
50%
Classification Performance
50%
binary classifier
50%
Cross-Validation
50%
INIS
detection
100%
vectors
100%
electrocardiograms
100%
myocardial infarction
100%
signals
27%
classification
27%
accuracy
18%
operation
18%
p waves
18%
datasets
9%
death
9%
performance
9%
validation
9%
control
9%
monte carlo method
9%
pathology
9%
sensitivity
9%
errors
9%
specificity
9%
skewness
9%
Neuroscience
Support Vector Machine
100%
Myocardial Infarction
100%
P-Wave
50%
QRS Complex
50%
QT Interval
50%
Physics
Electrocardiography
100%
P Wave
18%
Monte Carlo
9%
Wavelet Analysis
9%
Material Science
Morphology
100%
Reproducibility
16%