International Journal of Multidisciplinary Engineering Sciences | Volume 1 Issue 1 | Pages: 24-28

Review Article

OPEN ACCESS | Published on : 20-May-2026

AI-IoT Framework for Intelligent Disease Prediction and Smart Healthcare Monitoring using Machine Learning

• Shamim B
• Department of Computer Science & Applications, Kakaraparti Bhavanarayana College (A), Vijayawada, India.

P. Gouthami Devi
• Department of Computer Science & Applications, Kakaraparti Bhavanarayana College (A), Vijayawada, India.

Abstract

The rapid rise in chronic health conditions, along with the increasing need for remote and accessible healthcare services, has significantly encouraged the integration of Artificial Intelligence (AI) and Internet of Things (IoT) technologies into today’s healthcare systems. Conventional disease diagnosis approaches often depend on periodic medical examinations and manual analysis, which may delay early disease identification and emergency response. This paper presents an AI-IoT framework for intelligent disease prediction and smart healthcare monitoring using machine learning algorithms and IoT-enabled wearable devices. The proposed system continuously collects physiological parameters including heart rate, blood pressure, glucose levels, body temperature, oxygen saturation, and respiratory rate through IoT sensors. The acquired healthcare data are transmitted to cloud platforms for storage and intelligent analysis. Machine learning models are employed to identify abnormal health conditions and predict diseases at early stages. The framework integrates real-time monitoring, cloud computing, predictive analytics, and automated alert generation to improve healthcare accessibility and diagnostic accuracy. Experimental analysis demonstrates improved prediction performance, reduced response time, and enhanced healthcare efficiency compared with conventional healthcare systems. The proposed AI-IoT framework provides a scalable and cost-effective solution suitable for smart hospitals, telemedicine, and remote patient monitoring applications.

Keywords

Artificial Intelligence, Internet of Things, Disease Prediction, Machine Learning, Smart Healthcare, Predictive Analytics, Remote Monitoring, Healthcare IoT

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