Background Machine Learning (ML) has been transformative in healthcare, enabling more precise diagnostics, personalised treatment regimens and enhanced patient care. In cardiology, ML plays a crucial ...
Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
Abstract: Monitoring air quality is essential for protecting the environment and public health since rising air pollution levels offer serious health hazards. The IoT-based air quality monitoring ...
Abstract: Incidents involving high-risk patient behaviors remain a critical challenge in medical institutions. While advancements in sensor technology and artificial intelligence (AI) have shown ...
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