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Title	Iot & Ml-Based Healthcare Monitoring System-Review
ID_Doc	33572
Authors	Gundala J.R.; Varsha Potluri S.S.; Damle S.V.; Hashmi M.F.
Year	2022
Published	Proceedings - 2022 IEEE International Symposium on Smart Electronic Systems, iSES 2022
DOI	http://dx.doi.org/10.1109/iSES54909.2022.00137
Abstract	Intelligent medical management is one of several modern city and society management fields where the Internet of Things (IoT) is essential. Smart cities' current engagement between technology and the health care system is strengthened by the intelligent IoT's limitless networking capabilities for big data analysis in medicine. Allows for more practical methods for efficiently monitoring patients' health and providing medical services remotely online assessment of patients' health status by doctors, nurses, and other healthcare professionals. The abstract of the current study aims to provide a full examination of the function of IoT in medical management systems, analyse the available concerns, and address many of the open questions. It also aims to provide an up-to-date and comprehensive review of this field. Enabling technology and hints at a variety of uses There have been suggested research plans. The following are some examples of IoT applications from previous studies: wearable technology, monitoring technology, rehabilitation technology, telehealth, behaviour modification, smart city, and smart home. This comprehensive review identifies the crucial elements that make it possible to comprehend the healthcare possibilities and obstacles providers to put IoT applications into action. Lastly, anticipated COVID-19 effects on IoT uptake this review assessed in the field of healthcare. © 2022 IEEE.
Author Keywords	adoption factors; adoption theories; deep learning (DL); Internet of Things in healthcare; IoT; IoT adoption; machine learning (ML)

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