IoT and ML-Based Approaches in the Advancement of Healthcare Monitoring

Abstract

The recent advancements of the emerging technologies (i.e., internet of things [IoT] and machine learning [ML]) has rapidly transformed the healthcare industry in a better way. IoT-enabled wearable and monitoring devices are making new methods to manage patient's health. Sensor-enabled devices are useful for incessant data collection and remote patient monitoring. This enables the healthcare providers to impart more significant healthcare settings. Machine learning classifiers are useful in classifying different diseases and also rank the state of the disease. These two technologies potentially reduce the healthcare costs and accredit the patients to take control of their health condition and improvement. However, different challenges are associated with the implementation of these technologies in healthcare including security, data privacy and availability, proper system integration, and data transfer. This chapter aims to provide an overview of different approaches and security aspects of these emerging technologies in the advancement of remote healthcare monitoring.