
Exploring Intelligent Healthcare with Quantum Computing
Institution of Engineering and Technology (Publisher)
Published on 8. October 2024
Book
Hardback
350 pages
978-1-83953-809-4 (ISBN)
Description
Classical computers encode information in binary bits that can either be 0s or 1s. In a quantum computer, the basic unit of memory is a quantum bit or qubit. These qubits play a similar role in terms of storing information, but use physical systems, such as the spin of an electron or the orientation of a photon, to do so. In situations where there are a large number of possible feature combinations, quantum computers can consider them simultaneously, speeding up the data processing time.
In healthcare, where there are often large numbers of possible factors to consider, quantum computers can address them simultaneously, thereby allowing doctors to compare much, much more data, and all permutations of that data, in parallel to discover the best patterns that describe it, and therefore predict the best treatment options.
This edited book explores the field of quantum computing and machine learning for medical data processing, and is a useful resource for computer engineers, researchers, healthcare technologists and scientists specialising in quantum computing, quantum AI, data processing, deep learning, machine learning, smart healthcare, and medical data systems.
In healthcare, where there are often large numbers of possible factors to consider, quantum computers can address them simultaneously, thereby allowing doctors to compare much, much more data, and all permutations of that data, in parallel to discover the best patterns that describe it, and therefore predict the best treatment options.
This edited book explores the field of quantum computing and machine learning for medical data processing, and is a useful resource for computer engineers, researchers, healthcare technologists and scientists specialising in quantum computing, quantum AI, data processing, deep learning, machine learning, smart healthcare, and medical data systems.
More details
Series
Language
English
Place of publication
Stevenage
United Kingdom
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 21 mm
Weight
671 gr
ISBN-13
978-1-83953-809-4 (9781839538094)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Abhishek Kumar is an associate professor in the CSE department at Chandigarh University, Punjab, India, and a post-doctoral fellow at the Ingenium Research Group Lab, Universidad De Castilla-La Mancha, Ciudad Real, Spain. He has more than 13 years of academic teaching experience and over 170 publications in peer-reviewed national and international journals and conferences.
Ashutosh Kumar Dubey is an associate professor in the Department of Computer Science at Chitkara University School of Engineering and Technology, situated in Himachal Pradesh, India. He is a post-doctoral fellow at the Ingenium Research Group Lab, Universidad de Castilla-La Mancha, Ciudad Real, Spain. His research interests encompass machine learning, renewable energy, health informatics, nature-inspired algorithms, cloud computing, and big data.
Vincenzo Piuri is a professor of computer engineering at the University of Milan, Italy, an associate professor at the Polytechnic of Milan, Italy and visiting professor at the University of Texas at Austin, USA, and visiting researcher at George Mason University, USA and honorary professor at Obuda University, Hungary; Guangdong University of Petrochemical Technology, China; Northeastern University, China; Muroran Institute of Technology, Japan; Amity University, India; and Galgotias University, India. He is a fellow of the IEEE, a distinguished scientist of ACM, and a senior member of INNS. His research interests include neural networks, biometrics, and image processing.
Joel J.P.C. Rodrigues is with the Amazonas State University, Brazil. He is also the leader of the Center for Intelligence at Fecomercio/CE, Brazil and full professor at Lusofona University, Lisbon, Portugal. Prof. Rodrigues is a Highly Cited Researcher (Clarivate), and leader of NetGNA research group (CNPq). He has authored more than 1250 contributions and he is the EiC of the International Journal of E-Health and Medical Communications.
Ashutosh Kumar Dubey is an associate professor in the Department of Computer Science at Chitkara University School of Engineering and Technology, situated in Himachal Pradesh, India. He is a post-doctoral fellow at the Ingenium Research Group Lab, Universidad de Castilla-La Mancha, Ciudad Real, Spain. His research interests encompass machine learning, renewable energy, health informatics, nature-inspired algorithms, cloud computing, and big data.
Vincenzo Piuri is a professor of computer engineering at the University of Milan, Italy, an associate professor at the Polytechnic of Milan, Italy and visiting professor at the University of Texas at Austin, USA, and visiting researcher at George Mason University, USA and honorary professor at Obuda University, Hungary; Guangdong University of Petrochemical Technology, China; Northeastern University, China; Muroran Institute of Technology, Japan; Amity University, India; and Galgotias University, India. He is a fellow of the IEEE, a distinguished scientist of ACM, and a senior member of INNS. His research interests include neural networks, biometrics, and image processing.
Joel J.P.C. Rodrigues is with the Amazonas State University, Brazil. He is also the leader of the Center for Intelligence at Fecomercio/CE, Brazil and full professor at Lusofona University, Lisbon, Portugal. Prof. Rodrigues is a Highly Cited Researcher (Clarivate), and leader of NetGNA research group (CNPq). He has authored more than 1250 contributions and he is the EiC of the International Journal of E-Health and Medical Communications.
Editor
Associate ProfessorChandigarh University, Department of Computer Science & Engineering, Punjab, India
Associate ProfessorChitkara University School of Engineering and Technology, Department of Computer Science, Himachal Pradesh, India
Professor of Computer EngineeringUniversity of Milan, Italy
Professor of Computer ScienceLusofona University, Lisbon, Portugal
Content
Chapter 1: Blockchain in healthcare: revolutionizing security, transparency, and efficiency
Chapter 2: Harmony in health: machine learning empowered phonocardiogram analysis for early cardiovascular disease detection
Chapter 3: Quantum artificial intelligence for healthcare, supply chain and smart city applications
Chapter 4: Image segmentation algorithms for healthcare applications: enhancing precision in diagnostics and treatment
Chapter 5: Deep learning for medical image processing: a comprehensive exploration of applications and challenges
Chapter 6: Blockchain in healthcare: a comprehensive exploration of security, interoperability, and data integrity
Chapter 7: Big data security and privacy in health care
Chapter 8: Neural rhythms: unveiling pathways to early detection in neurological disorders through wearable EEG analysis
Chapter 9: Quantum computing applications in healthcare: revolutionizing diagnosis, treatment, and data security
Chapter 10: Quantum computing in healthcare: exploring applications for drug discovery and precision medicine
Chapter 11: An intelligent skin cancer disease identification strategy using Style-GAN algorithm
Chapter 12: Importance and need of IoMT and big data to revolutionizing healthcare industry
Chapter 13: Quantum blockchain-oriented data integrity scheme for validating clinical datasets
Chapter 14: Quantifying the performance of quantum machine learning algorithms for heart valve detection using H-Bert classifier
Chapter 15: Quantum-informed AI: precision caloric assessment for optimal health through advanced nutrition analysis in lifestyle management
Chapter 2: Harmony in health: machine learning empowered phonocardiogram analysis for early cardiovascular disease detection
Chapter 3: Quantum artificial intelligence for healthcare, supply chain and smart city applications
Chapter 4: Image segmentation algorithms for healthcare applications: enhancing precision in diagnostics and treatment
Chapter 5: Deep learning for medical image processing: a comprehensive exploration of applications and challenges
Chapter 6: Blockchain in healthcare: a comprehensive exploration of security, interoperability, and data integrity
Chapter 7: Big data security and privacy in health care
Chapter 8: Neural rhythms: unveiling pathways to early detection in neurological disorders through wearable EEG analysis
Chapter 9: Quantum computing applications in healthcare: revolutionizing diagnosis, treatment, and data security
Chapter 10: Quantum computing in healthcare: exploring applications for drug discovery and precision medicine
Chapter 11: An intelligent skin cancer disease identification strategy using Style-GAN algorithm
Chapter 12: Importance and need of IoMT and big data to revolutionizing healthcare industry
Chapter 13: Quantum blockchain-oriented data integrity scheme for validating clinical datasets
Chapter 14: Quantifying the performance of quantum machine learning algorithms for heart valve detection using H-Bert classifier
Chapter 15: Quantum-informed AI: precision caloric assessment for optimal health through advanced nutrition analysis in lifestyle management