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CRC Press Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development

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Description

Healthcare sector is characterized by difficulty, dynamism and variety. In 21st century, healthcare domain is surrounded by tons of challenges in terms of Disease detection, prevention, high costs, skilled technicians and better infrastructure. In order to handle these challenges, Intelligent Healthcare management technologies are required to play an effective role in improvising patient’s life. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data for various purposes for saving lives, reducing medical operations errors, enhancing efficiency, reducing costs and making the whole world a healthy world. Applying Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development is essential nowadays. The objective of this book is to highlight various Swarm Intelligence and Evolutionary Algorithms techniques for various medical issues in terms of Cancer Diagnosis, Brain Tumor, Diabetic Retinopathy, Heart disease as well as drug design and development. The book will act as one-stop reference for readers to think and explore Swarm Intelligence and Evolutionary Algorithms seriously for real-time patient diagnosis, as the book provides solutions to various complex diseases found critical for medical practitioners to diagnose in real-world. Key Features: Highlights the importance and applications of Swarm Intelligence and Evolutionary Algorithms in Healthcare industry. Elaborates Swarm Intelligence and Evolutionary Algorithms for Cancer Detection. In-depth coverage of computational methodologies, approaches and techniques based on Swarm Intelligence and Evolutionary Algorithms for detecting Brain Tumour including deep learning to optimize brain tumor diagnosis. Provides a strong foundation for Diabetic Retinopathy detection using Swarm and Evolutionary algorithms. Focuses on applying Swarm Intelligence and Evolutionary Algorithms for Heart Disease detection and diagnosis. Comprehensively covers the role of Swarm Intelligence and Evolutionary Algorithms for Drug Design and Discovery. The book will play a significant role for Researchers, Medical Practitioners, Healthcare Professionals and Industrial Healthcare Research and Development wings to conduct advanced research in Healthcare using Swarm Intelligence and Evolutionary Algorithms techniques. About the Author About the Editors Sandeep Kumar is currently an Assistant Professor of Computer Science & Engineering at Amity University Rajasthan, Jaipur, India. Dr. Kumar holds a PhD degree in Computer Science & Engineering, M. Tech. degree from RTU, Kota, BE degree from Engineering College, Kota. Dr. Kumar was Assistant Professor of Computer Science & Engineering at ACEIT, Jaipur, 2008–2011, and Assistant Professor of Computer Science, Faculty of Engineering & Technology, Jagannath University, Jaipur, 2011–2017. Dr. Kumar was the head of computer science at Jagannath University, 2013–2017. He is also working as guest editor for special issue of many journals including Int. J. of Intelligent Information and Database Systems (IJIIDS), Int. J. of Agricultural Resources, Governance and Ecology (IJARGE), Int. J. of Environment and Sustainable Development (IJESD), Inderscience, Recent Patents on Computer Science, Bentham Science, and member of editorial boards for many international journals, and member of technical program committees of many conferences. He has delivered many keynote and expert talks in national/international conferences/workshop. He is also reviewer in many international journals and conferences, and acts as chairperson in many conferences. Dr. Kumar has over 50 publications in well-known SCI/SCOPUS indexed international journals and conferences, and has attended several national and international conferences and workshops. He has authored/edited four books in the area of computer science. His research interests include Nature Inspired Algorit

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
27 November 2019
Listed Since
29 June 2019

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