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Machine Learning and Quantum Computing in Biomedical Intelligence
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Author(s): Pradeepta Kumar Sarangi (Chitkara University School of Engineering and Technology, Chitkara University, India), Shreya Kumari (Chitkara University Institute of Engineering and Technology, Chitkara University, India), Mani Sawhney (Chitkara University Institute of Engineering and Technology, Chitkara University, India), Amit Vajpayee (Apex Institute of Technology, Chandigarh University, India), Mukesh Rohra (Cognizant Technology Solutions, India)and Srikanta Mallik (Cognizant Technology Solutions, UAE)
Copyright: 2024
Pages: 20
Source title:
Quantum Innovations at the Nexus of Biomedical Intelligence
Source Author(s)/Editor(s): Vishal Dutt (AVN Innovations Pvt. Ltd., India), Abhishek Kumar (Department of CSE, UIE, Chandigarh University, Punjab, India), Sachin Ahuja (Chandigarh University, India), Anupam Baliyan (Geeta University, India)and Narayan Vyas (AVN Innovations Pvt. Ltd., India)
DOI: 10.4018/979-8-3693-1479-1.ch008
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Abstract
The digital world is replete with data like cyber security data, internet of things (IoT) data, enterprise data, mobile data, health data, and more. To analyse this data brilliantly and develop intelligent and automated applications, everyone has to know artificial intelligence (AI) algorithms, deep learning (DL) and machine learning (ML). Therefore, in today's technology-driven or digital world, no company can afford to ignore artificial intelligence or machine learning. Machine learning is a subfield of artificial intelligence, which is the scientific study of algorithms and statistical models that a computer system utilises to effectively carry out a given task without the need for any explicit instructions. This chapter begins with the basics of machine learning and its diverse range of techniques. This chapter also discusses various classification and clustering methods along with their applications and concludes with some real-world applications and examples and research development using machine learning and quantum computing in healthcare.
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