Traditional health systems mostly rely on rules created by experts to offer adaptive
interventions to patients. However, with recent advances in artificial intelligence (AI) and …

As the ageing population grows continuously, traditional healthcare providers are
experiencing difficulty in kee** up with changing and unpredictable demands as well as …

Numerous learning-based techniques for effective human behavior identification have
emerged in recent years. These techniques focus only on fundamental human activities …

WiFi sensing has received recent and significant interest from academia, industry,
healthcare professionals, and other caregivers (including family members) as a potential …

Falls have caught great harm to the elderly living alone at home. This paper presents a
novel visual-based fall detection approach by Dual-Channel Feature Integration. The …

The healthcare sector is experiencing a significant transformation due to the widespread
adoption of IoT-based systems, especially in the care of elderly and disabled individuals …

This article proposes an automatic fall detection method for a wearable device that can
promptly alert caregivers when a fall is detected, which could reduce the injuries of elder …

Cancer diagnosis using machine learning algorithms is one of the main topics of research in
computer-based medical science. Prostate cancer is considered one of the reasons that are …

In this paper, we report our improvement on the prediction accuracy of pre-impact fall
detection by applying a learning-based method on the real-time data from an IMU (inertial …

Machine learning has been applied in healthcare domain for the development of smart
devices to improve the life of the elderly persons in the society. Taking care of elderly person …