An Investigation on IoT Healthcare Analytics

Abstract

Abstract-The Internet of Things makes things to become active participants enabling communication between things and transfer of data among themselves. It has a wide range of applications in various domain such as healthcare. The Internet of Things changes the way of delivering healthcare solution to people. It maintains a smooth relationship between doctors and patients which leads to high quality results in medical care. These are achieved by continuous monitoring of patients by using sensors. The data collected are recorded and used for analytics in future purpose. The analytical solution in healthcare data gives a potential for identification of diseases. This paper concerns the Internet of Things in healthcare and also portrays the technology involved in it. The paper discuss the architectures and services involved in medical care solution. Further the mechanism involved in healthcare analytics and data sources involved in analytics are explained. The various algorithms involved in it are investigated. It also analyses the various challenges in healthcare perspective.

From Fragmented to Integrated: Transforming Emergency Healthcare Delivery through Digital Twin Technology

“…Analytics uses multiple machine learning algorithms for identifying diseases by identifying irregularities in physiological patterns (Arshi et al, 2022;Morande et al, 2022). Machine learning algorithms are self-learning algorithms that enhance diagnosis accuracy and play a crucial role in classifying data and identifying diseases effectively (Shanmugasundaram G & Sankarikaarguzhali. G., 2017).…”