Machine Learning Approaches for Convergence of IoT and Blockchain

4Amalgamation of IoT, ML, and Blockchain in the Healthcare Regime

Pratik Kumar¹, Piyush Yadav^1*, Rajeev Agrawal¹ and Krishna Kant Singh²

¹Department of Electronics and Communication Engineering, G. L Bajaj Institute of Technology and Management, Greater Noida, India

²Faculty of Engineering & Technology, Jain (Deemed-to-be University), Bengaluru, India

Abstract

Healthcare plays a critical role in the nation development and its economy. Recent Covid-19 pandemic has witnessed the importance of shifting the conventional healthcare infrastructure toward an automated environment that leverages the emerging paradigms such as Blockchain, Internet of Things (IoT), Machine Learning (ML), and Artificial Intelligence (AI). Further, through this chapter, we demonstrated several technologies which are effective and are essential step into future healthcare system. The amalgamation of these technologies will influence future course of healthcare environment which is pervasive and ubiquitous. This chapter explores such transition and opportunities that would bring the disruptive changes through emerging technologies providing connectivity and interaction among machines and humans for better clinical care irrespective of any ethnic or geographical boundaries.

Keywords: Healthcare, Internet of Things, machine learning, artificial intelligence, blockchain, pervasive, ubiquitous

4.1 Introduction

The kind of revolution that Internet has created in the world by connecting every people, sector, and ...