DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors

arXiv:2305.05738v4 Announce Type: replace
Abstract: Modern advances in machine learning (ML) and wearable medical sensors (WMSs) in edge devices have enabled ML-driven disease detection for smart healthcare. Conventional ML-driven methods for disease detection rely on customizing individual models for each disease and its corresponding WMS data. However, such methods lack adaptability to distribution shifts and new task classification classes. In addition, they need to be rearchitected and retrained from scratch for each new disease. Moreover, installing multiple ML models in …

abstract advances arxiv continual cs.hc cs.lg data detection devices disease doctor edge edge devices eess.sp framework healthcare however machine machine learning medical modern sensors smart type wearable