ANN model for users' perception on IOT based smart healthcare monitoring devices and its impact with the effect of COVID 19. Issue 1 (1st April 2021)

• Record Type: Journal Article
• Authors: Ganji, Kashmira; Parimi, Sashikala
• Is Part Of: Journal of science & technology policy management. Volume 13:Issue 1(2022)
• Page Start: 6
• Page End: 21
• Publication Date: 2021-04-01
• Subjects: ANN -- IoT -- Smart health-care devices -- COVID-19; Science and state -- Periodicals; Science and state -- Developing countries -- Periodicals; Technology and state -- Periodicals; Technology and state -- Developing countries -- Periodicals; Research, Industrial -- Periodicals; Research, Industrial -- Developing countries -- Periodicals; Technological innovations -- Periodicals; Technological innovations -- Developing countries -- Periodicals; 509.1724
• DOI: 10.1108/JSTPM-09-2020-0128
• Languages: English
• ISSNs: 2053-4620

Abstract

Abstract : Purpose: COVID-19 was indeed a global epidemic that revolutionized the way of life, especially health-care services. The way health care will be delivered will undergo a dramatic change in the future. The aim is to analyse the increasing usage of health care systems along with digital technology and IoT especially during pandemic. Design Methodology Approach: This research paper deals with users' perception and their recommendation status of IoT-based smart health-care monitoring devices based on their perception, experience and level of importance to enhance the quality of life. An effective artificial neural networking (ANN)-based predictive model is designed to classify the user's perception of usage of IoT-based smart health-care monitoring wearables based on their experience and knowledge. Findings: The model developed has 96.7% accuracy. Among the various predictors chosen as inputs for the model, the findings indicate that self-comfort and trusted data from the device are of high priority. The present study focused only on some common factors derived from previous studies. Research Limitations Implications: Although the performance of the proposed system was noticed to be good, the size of the sample is also limited to a few responses. Implications for future research and practices are discussed. Originality Value: This is a novel study that aims to develop an ANN model on analyzing the user's perception of IoT-based smart health-care wearables with the effect of COVID-19 pandemic. This paper elaborates on the ongoing efforts to restart the health-care services for survivability in the new normal situations.