A Novel Edge-Computing-Based Framework for an Intelligent Smart Healthcare System in Smart Cities

Subhranshu Sekhar Tripathy, Agbotiname Lucky Imoize, Mamata Rath, Niva Tripathy, Sujit Bebortta, Cheng-Chi Lee (), Te-Yu Chen (), Stephen Ojo, Joseph Isabona and Subhendu Kumar Pani
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Subhranshu Sekhar Tripathy: Department of Computer Science and Engineering, Dhaneswar Rath Institute of Engineering and Management Studies (DRIEMS), Autonomous College, Cuttack 754025, Odisha, India
Agbotiname Lucky Imoize: Department of Electrical and Electronics Engineering, Faculty of Engineering, University of Lagos, Akoka, Lagos 100213, Nigeria
Mamata Rath: Department of Computer Science and Engineering, Dhaneswar Rath Institute of Engineering and Management Studies (DRIEMS), Autonomous College, Cuttack 754025, Odisha, India
Niva Tripathy: Department of Computer Science and Engineering, Dhaneswar Rath Institute of Engineering and Management Studies (DRIEMS), Autonomous College, Cuttack 754025, Odisha, India
Sujit Bebortta: Department of Computer Science, Ravenshaw University, Cuttack 753003, Odisha, India
Cheng-Chi Lee: Department of Library and Information Science, Research and Development Center for Physical Education, Health, and Information Technology, Fu Jen Catholic University, New Taipei City 24205, Taiwan
Te-Yu Chen: Center of General Education, National Tainan Junior College of Nursing, Tainan 700007, Taiwan
Stephen Ojo: Department of Electrical and Computer Engineering, College of Engineering, Anderson University, Anderson, SC 29621, USA
Joseph Isabona: Department of Physics, Federal University Lokoja, Lokoja 260101, Nigeria
Subhendu Kumar Pani: Krupajal Engineering College, Biju Patnaik University of Technology (BPUT), Kausalya Ganga, Bhubaneswar 751002, Odisha, India

Sustainability, 2022, vol. 15, issue 1, 1-23

Abstract: The wide use of internet-enabled devices has not left the healthcare sector untouched. The health status of each individual is being monitored irrespective of his/her medical conditions. The advent of such medical devices is beneficial not only for patients but also for physicians, hospitals, and insurance companies. It makes healthcare fast, reliable, and hassle-free. People can keep an eye on their blood pressure, pulse rate, etc., and thus take preventive measures on their own. In hospitals, too, the Internet of Things (IoT) is being deployed for various tasks such as monitoring oxygen and blood sugar levels, electrocardiograms (ECGs), etc. The IoT in healthcare also reduces the cost of various ailments through fast and rigorous data analysis. The prediction of diseases through machine-learning techniques based on symptoms has become a promising concept. There may also be a situation where real-time analysis is required. In such a latency-sensitive situation, fog computing plays a vital role. Establishing communication every time with the cloud is not required with the introduction of fog and thus the latency is reduced. Healthcare is a latency-sensitive application area. So, the deployment of fog computing in this area is of vital importance. Our work focuses on improving the efficiency of the system for the precise diagnosis of and recommendations for heart disease. It evaluates the system using a machine-learning module.

Keywords: fog computing; mist computing; deep learning; heart disease; Internet of Things (IoT) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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