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RED-RHD (Rice Early Detection – Rheumatic Heart Disease): AI-Based Adaptive Multi-Regional System for Early Detection and Murmur Classification of Rheumatic Heart Disease

2026-02-17

Abstract excerpt

This study presents RED-RHD, a machine learning methodology for early detection and classification of Rheumatic Heart Disease (RHD) using heart sound recordings. By leveraging OpenL3 deep acoustic embeddings, cloud-based workflows, and an ensemble of SVM and XGBoost classifiers, RED-RHD achieves an average precision of 95.62% for murmur detection (Normal vs. Abnormal) and 99.00% precision for systolic vs. diast...

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Literature Corpus work: 8aaca91b-a532-53bb-9563-b1a525fc63fa
DOI: 10.64898/2026.02.16.26346365

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