MetDIT: Transforming and Analyzing Clinical Metabolomics Data with Convolutional Neural Networks

Computer Science

• Convolutional Neural Network 100%
• Source Codes 33%
• Random Decision Forest 33%
• High Dimensionality 33%
• Support Vector Machine 33%
• Deep Convolutional Neural Networks 33%
• Neural Network Model 33%
• Neural Network Architecture 33%
• Machine Learning Algorithm 33%
• Performance Model 33%
• Small Sample Size 33%
• Extreme Gradient Boosting 33%
• Class Imbalance 33%
• Precision Medicine 33%
• Computational Cost 33%
• Dimensional Image 33%
• Classification Performance 33%
• Machine Learning 33%
• Learning System 33%

Mathematics

• Convolutional Neural Network 100%
• Performance Model 25%
• Precision Medicine 25%
• One to one correspondence 25%
• Computational Cost 25%
• Loss Function 25%
• Network Model 25%

Biochemistry, Genetics and Molecular Biology

• Metabolomics 100%
• Random Forest 16%
• Sample Size 16%
• Writing 16%