Internet of things sensor assisted security and quality analysis for health care data sets using artificial intelligent based heuristic health management system

The developments in the medical systems, especially in health care management systems, play a vital role in patients. The effective management of health records leads to an increase in the importance of the healthcare management system all over the world. A real-time health monitoring system is a key zone for the Internet of Things (IoT) sensor technology in human services using Big Data Analytics. The major challenge that has to do with the health care data sets is security and privacy. In this paper, an artificial intelligence-based heuristic health management system has been designed and developed. This system is exceptionally close to improve the security and privacy of the live datasets of patients and the association of medicinal services over its different viewpoints. These services include the capacity for specialists, experts, attendants, and staff to settle on better decisions faster. Moreover, security and quality of data by configuration should be a part of any IoT use case, task or arrangement. Utilizing IoT assisted artificial intelligent based heuristic health management system intends to improve and minimize the security risk on health care data sets with assisted IoT sensors. The experimental results show promising outcomes in terms of various performance factors. The system attains precision as 99.75%, error rate as 0.0646 and predicted positive condition rate as 98.46%, Informedness as 98.6% and accuracy as 99.66%. The system is implemented using the MATLAB program. (C) 2020 Elsevier Ltd. All rights reserved.