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Appositeness of Digital Twins in Healthcare
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Author(s): Arjun Arora (UPES, India), Sarthak Srivastava (UPES, India), Aditya Raj (UPES, India)and Sahil Bansal (UPES, India)
Copyright: 2023
Pages: 14
Source title:
Digital Twins and Healthcare: Trends, Techniques, and Challenges
Source Author(s)/Editor(s): Loveleen Gaur (Amity University, India & Taylor's University, Malaysia & University of the South Pacific, Fiji)and Noor Zaman Jhanjhi (Taylor's University, Malaysia)
DOI: 10.4018/978-1-6684-5925-6.ch004
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Abstract
Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. Machine learning is a significant part of the developing field of information science. Using factual strategies, calculations are prepared to make characterizations or forecasts, revealing key experiences inside information mining projects. These bits of knowledge thusly drive decision making inside applications and organizations, preferably affecting key development measurements. As large information proceeds to extend and develop, the market interest for information researchers will increment, expecting them to aid the recognizable proof of the most significant business questions and accordingly the information to respond to them.
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