Abstract: This project introduces an innovative IoT and ML-based smart healthcare monitoring system, integrating a smart bed with a light sensor, to track sleep patterns and environmental conditions. The system collects data on sleep quality and ambient light levels, facilitating detailed analysis and insights into patient well-being. Leveraging machine learning algorithms, it offers predictive analytics for proactive care and clinical decision support for healthcare providers. Through a user-friendly interface, patients engage with their healthcare data, enhancing awareness and adherence to treatment plans. The system's streamlined monitoring processes optimize resource allocation and contribute to improved healthcare outcomes and cost efficiency. Overall, this project showcases the potential of advanced technologies to revolutionize patient care delivery and promote personalized healthcare management.
Keywords: healthcare, sleep pattern, sensors, patient
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DOI:
10.17148/IJARCCE.2024.13492
