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Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development

Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development

          
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About the Book

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 Algorithms,

Swarm Intelligence, Soft Computing and Computational

Intelligence.

Anand Nayyar received a PhD degree in Computer

Science from Desh Bhagat University in Mandi Gobindgarh.

Currently, he is working as Lecturer, Researcher and

Scientist at the Graduate School at Duy Tan University,

Vietnam. He has 15+ years of academic teaching experience

with more than 300 publications in reputed international

conferences, journals and book chapters (indexed

By: SCI, SCIE, Scopus, DBLP). Dr. Nayyar is a certified

professional with more than 75 certifications from various IT companies like:

CISCO, Microsoft, Oracle, Cyberoam, GAQM, Beingcert.com, ISQTB, EXIN,

Google and many more. His areas of interest include: Wireless Sensor

Networks, MANETS, Cloud Computing, Network Security, Swarm Intelligence,

Machine Learning, Network Simulation, Ethical Hacking, Forensics,

Internet of Things (IoT), Big Data, Linux and Open Source and Next

Generation Wireless Communications. In addition, Dr. Nayyar is

a Programme Committee Member/Technical Committee Member/Reviewer

for more than 400 international conferences to date. He has published 30

books in Computer Science by various National and International Reputed

Publishers like CRC Press, Elsevier, Springer, IGI-Global, BPB Publications,

Scholar Press, GRIN etc. He has received 20 awards for teaching and research,

including Young Scientist, Best Scientist, Exemplary Educationist, Young

Researcher and Outstanding Reviewer Award. He is acting as Associate

Editor of IGI-Global Journal - International Journal of Information Security

and Privacy (IJISP), International Journal of Distributed Systems and Technologies

(IJDST), International Journal of Cognitive Informatics and Natural

Intelligence (IJCINI), and International Journal of Green Computing (IJGC).

He is acting as Editor-in-Chief of IGI-Global Journal "International Journal

of Smart Vehicles and Smart Transportation (IJSVST)".

Anand Paul is currently working in The School of

Computer Science and Engineering, Kyungpook

National University, South Korea, as Associate Professor.

He got his Ph.D. degree in electrical engineering at

National Cheng Kung University, Taiwan, R.O.C., in

2010. His research interests include Algorithm and Architecture Reconfigurable

Embedded Computing. He is a delegate representing South

Korea for M2M focus group and for MPEG. In 2004-2010 he has

been awarded Outstanding International Student Scholarship, and in

2009, 2015 he won the best paper award in national computer

Symposium, in Taipei, Taiwan, and international conference on Soft

computing and network security, India.

He has guest-edited various international journals and he is also

part of editorial team for Journal of Platform Technology. He serves

as a reviewer for various IEEE Transactions on Circuits and Systems

for Video Technology, IEEE Transactions on System, Man and Cybernetics,

IEEE Sensors, ACM Transactions on Embedded Computing

Systems, IET Image Processing, IET Signal Processing and IET Circuits

and Systems. He gave invited talk in International Symposium on

Embedded Technology workshop in 2012, He is the track chair for

Smart human computer interaction in ACM SAC 2015, 2014. He is

also an MPEG Delegate representing South Korea.


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Product Details
  • ISBN-13: 9780367257576
  • Publisher: Taylor and Francis
  • Publisher Imprint: CRC Press
  • Height: 231 mm
  • No of Pages: 146
  • Spine Width: 15 mm
  • Width: 155 mm
  • ISBN-10: 0367257572
  • Publisher Date: 27 Nov 2019
  • Binding: Hardback
  • Language: English
  • Returnable: N
  • Weight: 362 gr


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