Big Data Analytics Cloud based Smart IoT Healthcare Network
Kapil Mehta, Shivang Gaur, Shubham Maheshwari, Himani Chugh, Manni Kumar
Abstract
A smart healthcare network combines the advantages of sensing devices, the Internet of Things (IoT), and big data analytics to give better patient comfort and lower healthcare costs. The healthcare sector is currently faced with enormous difficulties in storing and processing the data that is generated in order to derive information from it. It is vital to create new techniques and strategies for processing the growing amount of health sector data produced by IoT devices, e-health, m-health, and telemedicine airing. The physical intricacy of medicinal data, the demand for remedial competence as well as the protection of individual medicinal data distinguish research of data mining in health sector from various data studies. This research addresses these difficulties by presenting a contemporary technique for IoT based big data execution in healthcare. a large data processing and IoT health stage platform on the cloud for healthcare system has been introduced that lowers medical data management expenses while improving safety. Remote monitoring, the use of clever algorithms, tools, and processes, quicker analysis, and the engagement of experts for better treatment references, this learning aims to deliver health sector facilities to both the ill and the healthy community. With the integration of technologies, healthcare service delivery has evolved significantly. This study suggests a brand-new big data smart healthcare framework for remotely monitoring people's everyday physical activity, both healthy and sick.