Keyphrases
Diabetic Retinopathy
100%
Artificial Intelligence
100%
Non-modifiable Risk Factors
100%
Diabetic Retinopathy Screening
100%
Retinal Imaging
100%
Support Vector Machine
33%
Longitudinal Data
22%
Convolutional Neural Network
22%
Color Fundus Image
22%
Body Mass Index
11%
Training Set
11%
Image Data
11%
Risk Factors
11%
Early Detection
11%
Developing World
11%
Clinical Data
11%
Waist Circumference
11%
Systolic Blood Pressure
11%
Causes of Blindness
11%
Sensitivity Specificity
11%
Support Vector Machine Classifier
11%
Blindness
11%
Type I Error
11%
Accuracy Improvement
11%
Hemoglobin A1c (HbA1c)
11%
Disease Score
11%
Diabetic Retinopathy Grading
11%
Retinal Image
11%
Deep Convolutional Neural Network (deep CNN)
11%
Image Based Assessment
11%
Image-based Approach
11%
Probability Calibration
11%
Platt Scaling
11%
Calibration Method
11%
Multiple Visits
11%
AI-based Methods
11%
Automated Grading
11%
EyePACS
11%
Computer Science
Artificial Intelligence
100%
Support Vector Machine
100%
Traditional Risk Factor
100%
Convolutional Neural Network
40%
Developed World
20%
Early Detection
20%
Longitudinal Data
20%
Clinical Data
20%
Deep Convolutional Neural Networks
20%
Age Progression
20%
Output Probability
20%
Engineering
Artificial Intelligence
100%
Support Vector Machine
100%
Convolutional Neural Network
75%
Body Mass
25%
Progression
25%
Image Data
25%
Developed World
25%
Clinical Data
25%
Early Detection
25%
Testing Set
25%
Instrument Calibration
25%
Earth and Planetary Sciences
Support Vector Machine
100%
Artificial Intelligence
100%
State of the Art
25%
Neuroscience
Diabetic Retinopathy
100%
Support Vector Machine
36%
Neural Network
27%
Body Mass Index
9%
Hemoglobin A1c
9%