AI and Machine Learning: Supervised Learning Techniques Based on IoMT

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Author(s): Manisha Verma (Department of Computer Science and Engineering, Hindustan College of Science and Technology, Farah, India)
Copyright: 2023
Pages: 11
Source title: The Internet of Medical Things (IoMT) and Telemedicine Frameworks and Applications
Source Author(s)/Editor(s): Rajiv Pandey (Amity University, Lucknow, India), Amrit Gupta (MRH, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India)and Agnivesh Pandey (D.A-V. College, Chhatrapati Shahu Ji Maharaj University, Kanpur, India)
DOI: 10.4018/978-1-6684-3533-5.ch010

Keywords: Knowledge Management and Library Science / Medical Information Science Reference / Medical Technologies / Telemedicine

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Abstract

In the most recent decade, an enormous number of learning strategies have been presented in the field of the AI. Supervised learning has emerged as a major area of research in machine learning. Large numbers of the supervised learning methods have discovered application in their preparing and investigating assortment of information. One of the principle attributes is that the managed learning has the capacity of commenting on preparing information. The supposed marks are class names in the order cycle. There is an assortment of calculations that are utilized in the managed learning strategies. This chapter sums up the crucial parts of a couple of regulated techniques. The principle objective and commitment of this chapter is to introduce the outline of AI and give AI procedures.

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AI and Machine Learning: Supervised Learning Techniques Based on IoMT

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