Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development (PDF)
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...
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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 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.
- 2019, 1. Auflage, 168 Seiten, Englisch
- Herausgegeben: Sandeep Kumar, Anand Nayyar, Anand Paul
- Verlag: Taylor & Francis
- ISBN-10: 1000726797
- ISBN-13: 9781000726794
- Erscheinungsdatum: 11.11.2019
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 5.61 MB
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