IoT-Based Computational Frameworks in Disease Prediction and Healthcare Management: Strategies, Challenges, and Potential

ABSTRACT

In this fastest-growing digitalization and technology, the application of the Internet of Things (IoT) in the healthcare industry brings revolutionary changes in the development and advancement in disease prediction, health monitoring, mobile health, and healthcare management. The main objective of this chapter is to focus on the various computational frameworks that are available for IoT-based healthcare system, by incorporating the findings demonstrated in the recently published research papers/reviews. This chapter highlights the strategic development of IoT-based computational framework or network for the advancement in disease prediction, monitoring, treatment strategies and drug monitoring and provides a ubiquitous healthcare system. The use of Internet-assisted healthcare networks, sensor-based devices, web servers, smartphone applications, big data, and cloud computing systems effectively limitless resources for generating massive datasets and digital health records can be used for remote monitoring and mobile health. The development of smartphone applications increases the efficiency and accessibility of IoT-based healthcare system to the user. Furthermore, this study also focuses on the application of Internet-assisted technology to provide better healthcare platform and overcome the worldwide pandemic emergency of COVID-19. In summary, this chapter enlightens the potentials and promises of various IoT-based computational frameworks for the development of an easily accessible, simple to handle, time-efficient, and almost low-cost healthcare system with its technological constraints and future advancement. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.