Determination of Efficient and Secured Healthcare Monitoring Based on IoT Along with Machine Learning

Autor:	C Chethana
Rok vydání:	2021
Předmět:	Health management system Computer science business.industry Cloud computing Monitoring system Machine learning computer.software_genre Information sensitivity Health care Artificial intelligence business Internet of Things computer Healthcare system
DOI:	10.9734/bpi/nvst/v3/4421f
Popis:	A Health Monitoring System (HMS) is a modern technology and an alternative to traditional patient and health management. The usage of IoT in healthcare system is playing a vital role. Using the IoT device the various health parameters of the patient can be read and stored in the cloud for various analysis purpose. The data can be analyzed using various statistical methods and machine learning algorithms. Since the data stored are of sensitive information the security of the data to be achieved. In this chapter the role of IoT, artificial intelligence or machine learning algorithms and security issues and its challenges are discussed and the research gap is identified.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::92345dd0c0dc553a4e21750291e7f8e9 https://doi.org/10.9734/bpi/nvst/v3/4421f Zobrazit plný text záznamu