Human-guided deep learning with ante-hoc explainability by convolutional network from non-image data for pregnancy prognostication

Keyphrases

• Deep Learning 100%
• Convolutional Networks 100%
• Explainability 100%
• Human Guided 100%
• Non-image Data 100%
• Diagnostic Imaging 66%
• Knowledge Base 33%
• Network Architecture 33%
• Convolutional Neural Network 33%
• Delivery Time 33%
• Diagram Representation 33%
• Best Model 33%
• Area under the Curve 33%
• Art Performance 33%
• Model Representation 33%
• Patient-Reported Outcomes Measurement Information System (PROMIS) 33%
• Preventive Medicine 33%
• Electronic Health Records 33%
• Meaningful Image 33%
• External Validation 33%
• Health Insurance Database 33%
• Internal Validation 33%
• Prognostic Prediction Model 33%
• Supervisory Authorities 33%
• Actionable Insights 33%
• Prelabor Rupture of Membranes 33%

Medicine and Dentistry

• Diagnostic Imaging 100%
• Prognostication 100%
• Systematic Review 50%
• Medicine 50%
• Preventive Medicine 50%
• Electronic Health Record 50%
• Rupture of Membranes 50%

Biochemistry, Genetics and Molecular Biology

• Electronic Health Record 100%