Computational Intelligence and Soft Computing Applications in Healthcare Management Science

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Publisher : IGI Global
ISBN 13 : 1799825825
Total Pages : 322 pages
Book Rating : 4.21/5 ( download)

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Book Synopsis Computational Intelligence and Soft Computing Applications in Healthcare Management Science by : Gul, Muhammet

Download or read book Computational Intelligence and Soft Computing Applications in Healthcare Management Science written by Gul, Muhammet and published by IGI Global. This book was released on 2020-03-06 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s modernized world, the field of healthcare has seen significant practical innovations with the implementation of computational intelligence approaches and soft computing methods. These two concepts present various solutions to complex scientific problems and imperfect data issues. This has made both very popular in the medical profession. There are still various areas to be studied and improved by these two schemes as healthcare practices continue to develop. Computational Intelligence and Soft Computing Applications in Healthcare Management Science is an essential reference source that discusses the implementation of soft computing techniques and computational methods in the various components of healthcare, telemedicine, and public health. Featuring research on topics such as analytical modeling, neural networks, and fuzzy logic, this book is ideally designed for software engineers, information scientists, medical professionals, researchers, developers, educators, academicians, and students.

Applied Smart Health Care Informatics

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Publisher : John Wiley & Sons
ISBN 13 : 1119742986
Total Pages : 228 pages
Book Rating : 4.82/5 ( download)

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Book Synopsis Applied Smart Health Care Informatics by : Sourav De

Download or read book Applied Smart Health Care Informatics written by Sourav De and published by John Wiley & Sons. This book was released on 2022-02-23 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Smart Health Care Informatics Explores how intelligent systems offer new opportunities for optimizing the acquisition, storage, retrieval, and use of information in healthcare Applied Smart Health Care Informatics explores how health information technology and intelligent systems can be integrated and deployed to enhance healthcare management. Edited and authored by leading experts in the field, this timely volume introduces modern approaches for managing existing data in the healthcare sector by utilizing artificial intelligence (AI), meta-heuristic algorithms, deep learning, the Internet of Things (IoT), and other smart technologies. Detailed chapters review advances in areas including machine learning, computer vision, and soft computing techniques, and discuss various applications of healthcare management systems such as medical imaging, electronic medical records (EMR), and drug development assistance. Throughout the text, the authors propose new research directions and highlight the smart technologies that are central to establishing proactive health management, supporting enhanced coordination of care, and improving the overall quality of healthcare services. Provides an overview of different deep learning applications for intelligent healthcare informatics management Describes novel methodologies and emerging trends in artificial intelligence and computational intelligence and their relevance to health information engineering and management Proposes IoT solutions that disseminate essential medical information for intelligent healthcare management Discusses mobile-based healthcare management, content-based image retrieval, and computer-aided diagnosis using machine and deep learning techniques Examines the use of exploratory data analysis in intelligent healthcare informatics systems Applied Smart Health Care Informatics: A Computational Intelligence Perspective is an invaluable text for graduate students, postdoctoral researchers, academic lecturers, and industry professionals working in the area of healthcare and intelligent soft computing.

Computational Intelligence and Its Applications in Healthcare

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Publisher : Academic Press
ISBN 13 : 0128206195
Total Pages : 258 pages
Book Rating : 4.95/5 ( download)

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Book Synopsis Computational Intelligence and Its Applications in Healthcare by : Jitendra Kumar Verma

Download or read book Computational Intelligence and Its Applications in Healthcare written by Jitendra Kumar Verma and published by Academic Press. This book was released on 2020-08-01 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence and Its Applications in Healthcare presents rapidly growing applications of computational intelligence for healthcare systems, including intelligent synthetic characters, man-machine interface, menu generators, user acceptance analysis, pictures archiving, and communication systems. Computational intelligence is the study of the design of intelligent agents, which are systems that act intelligently: they do what they think are appropriate for their circumstances and goals; they're flexible to changing environments and goals; they learn from experience; and they make appropriate choices given perceptual limitations and finite computation. Computational intelligence paradigms offer many advantages in maintaining and enhancing the field of healthcare. Provides coverage of fuzzy logic, neural networks, evolutionary computation, learning theory, probabilistic methods, telemedicine, and robotics applications Includes coverage of artificial intelligence and biological applications, soft computing, image and signal processing, and genetic algorithms Presents the latest developments in computational methods in healthcare Bridges the gap between obsolete literature and current literature

Big Data Analytics for Intelligent Healthcare Management

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Publisher : Academic Press
ISBN 13 : 0128181478
Total Pages : 312 pages
Book Rating : 4.78/5 ( download)

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Book Synopsis Big Data Analytics for Intelligent Healthcare Management by : Nilanjan Dey

Download or read book Big Data Analytics for Intelligent Healthcare Management written by Nilanjan Dey and published by Academic Press. This book was released on 2019-04-15 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data. Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and more Discusses big data applications for intelligent healthcare management, such as revenue management and pricing, predictive analytics/forecasting, big data integration for medical data, algorithms and techniques, etc. Covers the development of big data tools, such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, and more

Soft Computing Applications and Techniques in Healthcare

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Publisher : CRC Press
ISBN 13 : 1000191109
Total Pages : 238 pages
Book Rating : 4.03/5 ( download)

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Book Synopsis Soft Computing Applications and Techniques in Healthcare by : Ashish Mishra

Download or read book Soft Computing Applications and Techniques in Healthcare written by Ashish Mishra and published by CRC Press. This book was released on 2020-10-09 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides insights into contemporary issues and challenges in soft computing applications and techniques in healthcare. It will be a useful guide to identify, categorise and assess the role of different soft computing techniques for disease, diagnosis and prediction due to technological advancements. The book explores applications in soft computing and covers empirical properties of artificial neural network (ANN), evolutionary computing, fuzzy logic and statistical techniques. It presents basic and advanced concepts to help beginners and industry professionals get up to speed on the latest developments in soft computing and healthcare systems. It incorporates the latest methodologies and challenges facing soft computing, examines descriptive, predictive and social network techniques and discusses analytics tools and their role in providing effective solutions for science and technology. The primary users for the book include researchers, academicians, postgraduate students, specialists and practitioners. Dr. Ashish Mishra is a professor in the Department of Computer Science and Engineering, Gyan Ganga Institute of Technology and Sciences, Jabalpur, Madhya Pradesh, India. He has contributed in organising the INSPIRE Science Internship Camp. He is a member of the Institute of Electrical and Electronics Engineers and is a life member of the Computer Society of India. His research interests include the Internet of Things, data mining, cloud computing, image processing and knowledge-based systems. He holds nine patents in Intellectual Property, India. He has authored four books in the areas of data mining, image processing and LaTex. Dr. G. Suseendran is an assistant professor, Department of Information Technology, School of Computing Sciences, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, Tamil Nadu, India. His research interests include ad-hoc networks, the Internet of Things, data mining, cloud computing, image processing, knowledge-based systems, and Web information exploration. He has published more than 75 research papers in various international journals such as Science Citation Index, Springer Book Chapter, Scopus, IEEE Access and UGC-referred journals. Prof. Trung-Nghia Phung is an associate professor and Head of Academic Affairs, Thai Nguyen University of Information and Communication Technology (ICTU). He has published more than 60 research papers. His main research interest lies in the field of speech, audio, and biomedical signal processing. He serves as a technical committee program member, track chair, session chair, and reviewer of many international conferences and journals. He was a co-Chair of the International Conference on Advances in Information and Communication Technology 2016 (ICTA 2016) and a Session Chair of the 4th International Conference on Information System Design and Intelligent Applications (INDIA 2017).

Cognitive Intelligence and Big Data in Healthcare

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Publisher : John Wiley & Sons
ISBN 13 : 1119771978
Total Pages : 420 pages
Book Rating : 4.75/5 ( download)

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Book Synopsis Cognitive Intelligence and Big Data in Healthcare by : D. Sumathi

Download or read book Cognitive Intelligence and Big Data in Healthcare written by D. Sumathi and published by John Wiley & Sons. This book was released on 2022-08-23 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: COGNITIVE INTELLIGENCE AND BIG DATA IN HEALTHCARE Applications of cognitive intelligence, advanced communication, and computational methods can drive healthcare research and enhance existing traditional methods in disease detection and management and prevention. As health is the foremost factor affecting the quality of human life, it is necessary to understand how the human body is functioning by processing health data obtained from various sources more quickly. Since an enormous amount of data is generated during data processing, a cognitive computing system could be applied to respond to queries, thereby assisting in customizing intelligent recommendations. This decision-making process could be improved by the deployment of cognitive computing techniques in healthcare, allowing for cutting-edge techniques to be integrated into healthcare to provide intelligent services in various healthcare applications. This book tackles all these issues and provides insight into these diversified topics in the healthcare sector and shows the range of recent innovative research, in addition to shedding light on future directions in this area. Audience The book will be very useful to a wide range of specialists including researchers, engineers, and postgraduate students in artificial intelligence, bioinformatics, information technology, as well as those in biomedicine.

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare

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Publisher : Academic Press
ISBN 13 : 0128222611
Total Pages : 398 pages
Book Rating : 4.14/5 ( download)

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Book Synopsis Handbook of Computational Intelligence in Biomedical Engineering and Healthcare by : Janmenjoy Nayak

Download or read book Handbook of Computational Intelligence in Biomedical Engineering and Healthcare written by Janmenjoy Nayak and published by Academic Press. This book was released on 2021-04-08 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical electronics, protein structure prediction, and biomedical data analysis. The book provides the reader with a comprehensive guide to advanced computational intelligence, spanning deep learning, fuzzy logic, connectionist systems, evolutionary computation, cellular automata, self-organizing systems, soft computing, and hybrid intelligent systems in biomedical and healthcare applications. Sections focus on important biomedical engineering applications, including biosensors, enzyme immobilization techniques, immuno-assays, and nanomaterials for biosensors and other biomedical techniques. Other sections cover gene-based solutions and applications through computational intelligence techniques and the impact of nonlinear/unstructured data on experimental analysis. Presents a comprehensive handbook that covers an Introduction to Computational Intelligence in Biomedical Engineering and Healthcare, Computational Intelligence Techniques, and Advanced and Emerging Techniques in Computational Intelligence Helps readers analyze and do advanced research in specialty healthcare applications Includes links to websites, videos, articles and other online content to expand and support primary learning objectives

Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data

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Publisher : Academic Press
ISBN 13 : 0323903487
Total Pages : 296 pages
Book Rating : 4.86/5 ( download)

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Book Synopsis Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data by : Akash Kumar Bhoi

Download or read book Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data written by Akash Kumar Bhoi and published by Academic Press. This book was released on 2022-01-22 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data discusses the insight of data processing applications in various domains through soft computing techniques and enormous advancements in the field. The book focuses on the cross-disciplinary mechanisms and ground-breaking research ideas on novel techniques and data processing approaches in handling structured and unstructured healthcare data. It also gives insight into various information-processing models and many memories associated with it while processing the information for forecasting future trends and decision making. This book is an excellent resource for researchers and professionals who work in the Healthcare Industry, Data Science, and Machine learning. Focuses on data-centric operations in the Healthcare industry Provides the latest trends in healthcare data analytics and practical implementation outcomes of the proposed models Addresses real-time challenges and case studies in the Healthcare industry

A Primer on Multiple Intelligences

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Publisher : Springer Nature
ISBN 13 : 3030775844
Total Pages : 275 pages
Book Rating : 4.41/5 ( download)

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Book Synopsis A Primer on Multiple Intelligences by : Matthew N. O. Sadiku

Download or read book A Primer on Multiple Intelligences written by Matthew N. O. Sadiku and published by Springer Nature. This book was released on 2021-07-24 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to nineteen popular multiple intelligences. Part One discusses general intelligence, psychological testing, naturalistic intelligence, social intelligence, emotional intelligence, interpersonal intelligence, and cultural intelligence. Part Two tackles machine intelligence, the development of artificial intelligence, computational intelligence, and digital intelligence, or the ability for humans to adapt to a digital environment. Finally, Part Three discusses the role of intelligence in business development, using technology to augment intelligence, abstract thinking, swarm and animal intelligence, military intelligence, and musical intelligence. A Primer on Multiple Intelligences is a must-read for graduate students or scholars considering researching cognition, perception, motivation, and artificial intelligence. It will also be of use to those in social psychology, computer science, and pedagogy. It is as a valuable resource for anyone interested in learning more about the multifaceted study of intelligence.

Advanced Computational Intelligence in Healthcare-7

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Publisher : Springer Nature
ISBN 13 : 3662611147
Total Pages : 169 pages
Book Rating : 4.42/5 ( download)

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Book Synopsis Advanced Computational Intelligence in Healthcare-7 by : Ilias Maglogiannis

Download or read book Advanced Computational Intelligence in Healthcare-7 written by Ilias Maglogiannis and published by Springer Nature. This book was released on 2020-03-23 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art works and systematic reviews in the emerging field of computational intelligence (CI) in electronic health care. The respective chapters present surveys and practical examples of artificial intelligence applications in the areas of Human-Machine Interface (HMI) and affective computing, machine learning, big health data and visualization analytics, computer vision and medical image analysis. The book also addresses new and emerging topics in CI for health care such as the utilization of Social Media (SM) and the introduction of new intelligent paradigms in the security and privacy domains, which are critical for the health sector. The chapters, while of course not exhaustively addressing all the possible aspects of the aforementioned areas, are indicative of the dynamic nature of interdisciplinary research being pursued. Accordingly, the book is intended not only for researchers in the respective fields, but also for medical and administrative personnel working in the health sector, as well as managers and stakeholders responsible for making strategic decisions and defining public health policies.