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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 14, ISSUE 9, SEPTEMBER 2025

Smart Multi-Disease Healthcare with IoMT and Explainable AI

Tejas Naik, Manasvi Jadhav, Sai Palvi, Kanda Kumaran Thevar

DOI: 10.17148/IJARCCE.2025.14916

Abstract: The Internet of Things (IoT) has emerged as a transformative technology in healthcare, enabling real-time monitoring, early detection, and improved patient care through interconnected sensors, wearables, and cloud platforms. This paper presents a unified study of IoT applications in healthcare monitoring systems with a focus on chronic diseases. Specifically, it synthesizes research on non-invasive blood glucose monitoring (GluQo), cloud-assisted asthma monitoring, and multi-parameter healthcare frameworks. The paper highlights IoT architectures, system designs, and implementation results, while also addressing challenges of data privacy, interoperability, and scalability. Future directions include AI-driven IoT frameworks, blockchain-enabled security, and 5G-enabled telehealth.

Keywords: IoT, Healthcare Monitoring, Glucose Monitoring, Asthma Monitoring, Cloud Computing

How to Cite:

[1] Tejas Naik, Manasvi Jadhav, Sai Palvi, Kanda Kumaran Thevar, “Smart Multi-Disease Healthcare with IoMT and Explainable AI,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14916