Intelligent Data Analytics for Bioinformatics and Biomedical Systems
Wiley-Scrivener (Verlag)
978-1-394-27088-0 (ISBN)
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This book is edited into three sections, each focusing on computational intelligence and data sets in biomedical systems. The first section discusses the fundamental concepts of computational intelligence and big data in the context of bioinformatics. This section emphasizes data mining, pattern recognition, and knowledge discovery for bioinformatics applications. The second part talks about computational intelligence and big data in biomedical systems. Based on how these advanced techniques are utilized in the system, this section discusses how personalized medicine and precision healthcare enable treatment based on individual data and genetic profiles. The last section investigates the challenges and future directions of computational intelligence and big data in bioinformatics and biomedical systems. This section concludes with discussions on the potential impact of computational intelligence on addressing global healthcare challenges.
Neha Sharma, Ph.D., is an assistant professor in the Computer Science and Engineering Department, Chitkara University, Rajpura, Punjab, India. Her main research areas are image processing, machine learning, deep learning, and cyber security. She has published over 30 national and international patents under the Government of India & Abroad Intellectual Property Rights. She is actively associated with NAAC preparations at the university interface. Korhan Cengiz, Ph.D., obtained his Ph.D. in electronics engineering from Kadir Has University, Istanbul, Turkey, in 2016. He is an associate professor in the Department of Computer Engineering, Istinye University, Istanbul, Turkey. His research interests include wireless sensor networks, wireless communications, statistical signal processing, etc. Dr. Sharma is the chair of the research committee at the University of Fujairah, United Arab Emirates. He has authored more than 40 SCI articles, 5 international patents, 10 chapters in books, and 1 book in Turkish. Prasenjit Chatterjee, Ph.D., is a professor of mechanical engineering and dean (research and consultancy) at MCKV Institute of Engineering, West Bengal, India. He has authored several books on intelligent decision-making, fuzzy computing, supply chain management, etc. He has over 6850 situations and many research papers in various international journals. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods called Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) and Ranking Alternatives through Functional Mapping of Criterion Sub-Intervals into a Single Interval (RAFSI).
Erscheint lt. Verlag | 16.1.2025 |
---|---|
Reihe/Serie | Sustainable Computing and Optimization |
Sprache | englisch |
Themenwelt | Informatik ► Weitere Themen ► Bioinformatik |
Medizin / Pharmazie ► Medizinische Fachgebiete ► Biomedizin | |
Naturwissenschaften ► Biologie | |
ISBN-10 | 1-394-27088-7 / 1394270887 |
ISBN-13 | 978-1-394-27088-0 / 9781394270880 |
Zustand | Neuware |
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