March 2022
Intermediate to advanced
336 pages
8h 27m
English
Content preview from The Internet of Medical Things (IoMT)
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2Medical Data Classification in Cloud Computing Using Soft Computing With Voting Classifier: A Review
Saurabh Sharma1*, Harish K. Shakya1† and Ashish Mishra2‡
1Dept. of CSE, Amity School of Engineering & Technology, Amity University (M.P.), Gwalior, India
2Department of CSE, Gyan Ganga Institute of Technology and Sciences, Jabalpur, India
Abstract
In the current context, a tele-medical system is the rising medical service where health professionals can use telecommunication technology to treat, evaluate, and diagnose a patient. The data in the healthcare system signifies a set of medical data that is sophisticated and larger in number (X-ray, fMRI data, scans of the lungs, brain, etc.). It is impossible to use typical hardware and software to manage medical data collections. Therefore, a practical approach to the equilibrium of privacy protection and data exchange is required. To address these questions, several approaches are established, most of the studies focusing on only a tiny problem with a single notion. This review paper analyzes the data protection research carried out in cloud computing systems and also looks at the major difficulties that conventional solutions confront. This approach helps researchers to better address existing issues in protecting the privacy of medical data in the cloud system.
Keywords: Medical data, soft computing, fuzzy, cloud computing, data privacy, SVM, FCM
2.1 Introduction
There are many definitions in Electronic Health Record (EHR), ...
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