Heart Sound Abnormality Detection From Multi-Institutional Collaboration: Introducing a Federated Learning Framework

Keyphrases

• Abnormality Detection 100%
• Artificial Intelligence 50%
• Artificial Intelligence Models 25%
• Auscultation 25%
• Black Box 25%
• Cardiovascular Disease Diagnosis 25%
• Clinical Practice 25%
• Computer Audition 25%
• Data Scarcity 25%
• Deep Learning 25%
• Early Diagnosis 25%
• Extensive Application 25%
• Feature Space 50%
• Federated Learning 75%
• Federated Learning System 100%
• Healthcare Data 25%
• Healthcare Field 25%
• Heart Sound 100%
• Horizontal Federated Learning 25%
• Information Leakage 25%
• Institutional Collaboration 100%
• Large Amount of Data 25%
• Learning-based Optimization 25%
• Medical Data 25%
• Medical Practice 25%
• Model Interpretability 25%
• Modeling Data 25%
• Optimization Strategy 25%
• Personal Privacy Protection 25%
• Pre-screening 25%
• Privacy Concerns 50%
• Single Center 25%
• Smart Medical System 25%
• Sound Database 25%
• Vertical Federated Learning 50%

Computer Science

• Artificial Intelligence 25%
• Artificial Intelligence Model 12%
• Deep Learning 12%
• Experimental Result 12%
• Feature Space 25%
• Federated Learning 100%
• Good Performance 12%
• Healthcare Data 12%
• Information Leakage 12%
• Interpretability 37%
• Learning Framework 100%
• Medical Practice 12%
• Optimization Strategy 12%
• Participating Institution 12%
• Personal Privacy 12%
• Privacy Problem 12%
• Privacy Protection 12%

Medicine and Dentistry

• Auscultation 25%
• Cardiovascular Disease 25%
• Early Diagnosis 25%
• Heart Sound 100%
• Intelligence 25%