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Hybrid Algorithms for Medical Insights Using Quantum Computing
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Author(s): Nitika Kapoor (Chandigarh University, India), Parminder Singh (Chandigarh Engineering College, Landran, India), Kusrini M. Kom (Universty of Amikom, Indonesia)and Vishal Bharti (MMEC, Maharishi Markandeshwar, Mullana, India)
Copyright: 2024
Pages: 19
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.ch005
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Abstract
In the field of medicine, machine learning has become very important. It's helping us identify diseases better, take care of patients more personally, and improve many important parts of healthcare. With more and more medical information available, machine learning, which relies on big sets of data, can make predictions more accurate and help doctors make better decisions. This chapter looks closely at how machine learning is being used in medicine right now. It also talks about how quantum computing could change healthcare. First, it explains different ways machine learning is used and how it's being used in medicine. It talks about things like diagnosing diseases, finding new medicines, and treating patients in a way that's right for them. Then, it explores how machine learning and quantum computing could work together. Quantum computing uses special particles to do many calculations at once. This could help process medical information much faster. Quantum computing could also help simulate how molecules interact, which is important for developing new medicines.
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