Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

Abstract

Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs, increasing efficiency, accurate analysis of data and better care for patient. Meta‐heuristic algorithms are now effective modelling and optimisation tools. The proposed framework offers hybrid meta‐heuristic and mining algorithms to solve the optimisation and analysis issues. Grey Wolf Optimisation (GWO) applies a spiral‐shaped path to assure diversity and convergence. To encourage convergence, the Genetic Algorithm (GA) is introduced. Also, we applied a support vector machine and Naïve Bayes for extracting and analysing important information for heart collected from sensors. The goals are to build Electronic Healthcare (E‐Health), which includes establishing a link between patients and health providers to monitor, diagnose and save useful information. It is the foundation for accomplishing efficient and robust monitoring. The results offer that the IoTs framework is optimised and enhanced using the hybrid algorithm, which outperforms the GWO and GA, and the mining algorithms are more accurate with a hybrid algorithm than used mining with only GWO or GA.

Providing A Personalized Healthcare Service To The Patients Using AIOPs Monitoring

“…In general, the use of AI to automate routine administrative and operational processes may lead to better customer experiences and service quality, cheaper costs, and more effective project implementations (Al-Hashimi et al, 2022). Once AI is incorporated into the clinical workflow of hospitals, it has the potential to become an even more potent tool that can update and improve electronic health records by creating apps that make it simple for medical professionals to get the patient data they need (Alhayani et al, 2022).…”

Artificial Intelligence in Health Sector of USA

“…One of the most promising applications of AI in the health sector is medical imaging (Sreenivasu et al, 2023)(M. G. Galety, Al Mukthar, et al, 2022. AI algorithms are being developed to analyze medical images such as X-rays, CT scans, and MRI scans, to detect and diagnose diseases (B. N. Mohammed et al, 2021)(Al-Hashimi et al, 2022. These algorithms can accurately detect abnormalities that may be missed by human radiologists.For example, in 2021, researchers at Stanford University developed an AI algorithm that can diagnose COVID-19 from chest X-rays with high accuracy (Munagala et al, 2022)(M. G. Galety, Al-Mukhtar, et al, 2022) (Kasasbeh, 2021) (Mikhail et al, 2022).…”