Keyphrases
Adaboost Tree
16%
Bagged Tree
16%
Blood Pressure
100%
Blood Pressure Classification
100%
Blood Pressure Level
16%
Classification Accuracy
33%
Classification Applications
16%
Classification Basis
100%
Classification Level
16%
Classification Methods
33%
Classification Time
16%
Committee Report
16%
Deep Learning Classification
16%
Deep Learning Convolutional Neural Network
16%
Deep Learning Methods
16%
Early Detection
33%
Excellent Performance
16%
F1 Score
16%
Figshare
16%
Heart Disease
16%
Hypertension
33%
Hypotension
16%
Invasive Blood Pressure
100%
Joint National Committee
16%
K-nearest
100%
Logistic Model Tree
16%
Normotension
16%
Photoplethysmography
100%
Prehypertension
16%
Time Consumption
16%
Computer Science
Classification Accuracy
66%
Classification Method
33%
Collected Data
33%
Convolutional Neural Network
33%
Deep Learning Method
100%
Early Detection
66%
Logistic Regression
33%
Outstanding Performance
33%
Time Consumption
33%
Mathematics
Bagged Tree
33%
Classification Method
33%
Convolutional Neural Network
33%
Deep Learning Method
100%
Logistic Regression
33%
Nearest Neighbor
100%
Normotension
33%
Agricultural and Biological Sciences
Blood Pressure
100%
Committees
11%
Neural Network
11%
Prehypertension
11%