Juvenile Refractive Power Prediction Based on Corneal Curvature and Axial Length via a Domain Knowledge Embedding Network

Keyphrases

• Power Prediction 100%
• Prediction Method 100%
• Axial Length 100%
• Knowledge Embedding 100%
• Corneal Curvature 100%
• Spherical Equivalent 100%
• Embedded Networks 100%
• Refractive Power 100%
• Prediction Accuracy 50%
• Refraction 50%
• Keratometry 50%
• Order of Accuracy 25%
• Neural Network 25%
• Traditional Machine Learning 25%
• Superior Performance 25%
• Neural Network Model 25%
• Training Model 25%
• Machine Learning Algorithms 25%
• Ophthalmic Examination 25%
• Noncycloplegic Refraction 25%
• Cycloplegia 25%
• Biomedical Parameters 25%
• Ocular Disorders 25%
• Lotion 25%
• Neural Network Algorithm 25%
• Power Detection 25%
• Network Prediction 25%
• Pupillary 25%

Engineering

• Domain Knowledge 100%
• Refractive Power 100%
• Artificial Neural Network 33%
• Network Model 33%
• Machine Learning Algorithm 33%
• Prediction Network 33%
• Test Dataset 33%

Chemical Engineering

• Neural Network 100%
• Learning System 33%