RETRACTED: Enabling Computational Intelligence in Healthcare Using Internet of Things (IoT), Machine Learning, and Fog Computing

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Authors: A. Aruna, A. Sathya
Cited by: 0
References: 25

Abstract

The emergence in the development of sensory equipment endorses the expansion of the Internet of Things (IoT) across the globe. The usage of diversified applications and IoT devices generates massive sensor data which in turn need analytics or intelligent processing system. IoT, Machine Learning, and Fog Computing are utilized to achieve healthcare assistance and diagnosis progression in diverse aspects, Machine Learning is a kind of data analysis technique that retrieves the needed information without performing any explicit program. This chapter focuses on two diverse paradigms such as machine learning and fog computing which concern the processing and analysis of sensor data. The taxonomy of Machine Learning algorithms, significant aspects of Machine Learning in IoT data analytics and applications of Machine Learning based IoT techniques are elaborated. This chapter also elucidates fog computing and its tiered computing architecture for healthcare. The major issues and the future research directions of IoT Data analysis are also explained in this chapter.

Fields of Study & Subjects

IoT and Edge/Fog Computing Internet of Things and AI Artificial Intelligence in Healthcare

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
67–90
Publication date
5 February 2026
Document type
Book chapter