An Adaptive Machine Learning Framework for Real-Time Health Monitoring using IoT-based Physiological Data

• Published in: 2025 3rd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS) pp. 728 - 733
• Main Authors: Pasha, MD Sajit, Shaik, Mohammed Ali
• Format: Conference Proceeding
• Language: English
• Published: IEEE 11.06.2025
• Subjects: Accuracy; Adaptation models; Adaptive machine learning; Adaptive systems; Biological system modeling; Biomedical monitoring; Concept drift detection; Ensemble learning; IoT-based healthcare; Monitoring; Random forests; Real-time health monitoring; Real-time systems; Sensitivity; Wearable devices

In view of the advancement brought by IoT-healthcare technology, positive feedback including the ability to check constantly wearing apparels such as wearable devices has provided real-time, early assessment on the state of health. However, the more classic approaches of machine learning are not sui...