Computational Intelligence And Healthcare Informatics

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Computational Intelligence and Healthcare Informatics

Author : Om Prakash Jena
Publisher : John Wiley & Sons
ISBN 13 : 1119818680
Total Pages : 434 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Computational Intelligence and Healthcare Informatics by : Om Prakash Jena

Download or read book Computational Intelligence and Healthcare Informatics written by Om Prakash Jena and published by John Wiley & Sons. This book was released on 2021-10-19 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: COMPUTATIONAL INTELLIGENCE and HEALTHCARE INFORMATICS The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease prediction, and computer-aided diagnosis. Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. With the rapid advance of technology, artificial intelligence (AI) techniques are being effectively used in the fields of health to improve the efficiency of treatments, avoid the risk of false diagnoses, make therapeutic decisions, and predict the outcome in many clinical scenarios. Modern health treatments are faced with the challenge of acquiring, analyzing and applying the large amount of knowledge necessary to solve complex problems. Computational intelligence in healthcare mainly uses computer techniques to perform clinical diagnoses and suggest treatments. In the present scenario of computing, CI tools present adaptive mechanisms that permit the understanding of data in difficult and changing environments. The desired results of CI technologies profit medical fields by assembling patients with the same types of diseases or fitness problems so that healthcare facilities can provide effectual treatments. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with it. Contained in this book are state-of-the-art methods of computational intelligence and other allied techniques used in the healthcare system, as well as advances in different CI methods that will confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide researchers with a platform encompassing state-of-the-art innovations; research and design; implementation of methodological and algorithmic solutions to data processing problems; and the design and analysis of evolving trends in health informatics, intelligent disease prediction and computer-aided diagnosis. Audience The book is of interest to artificial intelligence and biomedical scientists, researchers, engineers and students in various settings such as pharmaceutical & biotechnology companies, virtual assistants developing companies, medical imaging & diagnostics centers, wearable device designers, healthcare assistance robot manufacturers, precision medicine testers, hospital management, and researchers working in healthcare system.

Computational Intelligence for Machine Learning and Healthcare Informatics

Author : Rajshree Srivastava
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110648199
Total Pages : 346 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Computational Intelligence for Machine Learning and Healthcare Informatics by : Rajshree Srivastava

Download or read book Computational Intelligence for Machine Learning and Healthcare Informatics written by Rajshree Srivastava and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-06-22 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It is intended to provide a unique compendium of current and emerging machine learning paradigms for healthcare informatics, reflecting the diversity, complexity, and depth and breadth of this multi-disciplinary area.

Smart Computational Intelligence in Biomedical and Health Informatics

Author : Amit Kumar Manocha
Publisher : CRC Press
ISBN 13 : 1000434370
Total Pages : 202 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Smart Computational Intelligence in Biomedical and Health Informatics by : Amit Kumar Manocha

Download or read book Smart Computational Intelligence in Biomedical and Health Informatics written by Amit Kumar Manocha and published by CRC Press. This book was released on 2021-09-27 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Computational Intelligence in Biomedical and Health Informatics presents state-of-the-art innovations; research, design, and implementation of methodological and algorithmic solutions to data processing problems, including analysis of evolving trends in health informatics and computer-aided diagnosis. This book describes practical, applications-led research regarding the use of methods and devices in clinical diagnosis, disease prevention, and patient monitoring and management. It also covers simulation and modeling, measurement and control, analysis, information extraction and monitoring of physiological data in clinical medicine and the biological sciences. FEATURES Covers evolutionary approaches to solve optimization problems in biomedical engineering Discusses IoT, Cloud computing, and data analytics in healthcare informatics Provides computational intelligence-based solution for diagnosis of diseases Reviews modelling and simulations in designing of biomedical equipment Promotes machine learning-based approaches to improvements in biomedical engineering problems This book is for researchers, graduate students in healthcare, biomedical engineers, and those interested in health informatics, computational intelligence, and machine learning.

Advanced Computational Intelligence in Healthcare-7

Author : Ilias Maglogiannis
Publisher : Springer Nature
ISBN 13 : 3662611147
Total Pages : 169 pages
Book Rating : 4.6/5 (626 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.

Applied Smart Health Care Informatics

Author : Sourav De
Publisher : John Wiley & Sons
ISBN 13 : 1119742986
Total Pages : 228 pages
Book Rating : 4.1/5 (197 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 in Healthcare Informatics

Author : D. P. Acharjya
Publisher : Springer Nature
ISBN 13 : 9819988535
Total Pages : 401 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Computational Intelligence in Healthcare Informatics by : D. P. Acharjya

Download or read book Computational Intelligence in Healthcare Informatics written by D. P. Acharjya and published by Springer Nature. This book was released on 2024 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents advancements in computational intelligence in perception with healthcare applications. Besides, the concepts, theory, and applications in various domains of healthcare systems including decision making in healthcare management, disease diagnosis, and electronic health records will be presented in a lucid manner. To achieve these objectives, both theoretical advances and its applications to healthcare problems will be stressed upon. This has been done to make the edited book more flexible and to stimulate further research interest in topics. The book is divided into four sections such as theoretical foundation of computational intelligence techniques, computational intelligence in analyzing health data, computational intelligence in electronic health record (EHR), and computational intelligence in ethical issues in health care.

Computational Intelligence in Medical Informatics

Author : Arpad Kelemen
Publisher : Springer Science & Business Media
ISBN 13 : 354075766X
Total Pages : 389 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Computational Intelligence in Medical Informatics by : Arpad Kelemen

Download or read book Computational Intelligence in Medical Informatics written by Arpad Kelemen and published by Springer Science & Business Media. This book was released on 2008-01-03 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical Informatics (MI) is an emerging interdisciplinary science. This book deals with the application of computational intelligence in MI. Addressing the various issues of medical informatics using different computational intelligence approaches is the novelty of this edited volume. This volume comprises of 15 chapters selected on the basis of fundamental ideas/concepts including an introductory chapter giving the fundamental definitions and some important research challenges.

Predictive Intelligence in Biomedical and Health Informatics

Author : Rajshree Srivastava
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110676125
Total Pages : 180 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Predictive Intelligence in Biomedical and Health Informatics by : Rajshree Srivastava

Download or read book Predictive Intelligence in Biomedical and Health Informatics written by Rajshree Srivastava and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-10-12 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.

Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis

Author : Sushruta Mishra
Publisher : Springer Nature
ISBN 13 : 9811910766
Total Pages : 503 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis by : Sushruta Mishra

Download or read book Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis written by Sushruta Mishra and published by Springer Nature. This book was released on 2022-04-19 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book discusses how augmented intelligence can increase the efficiency and speed of diagnosis in healthcare organizations. The concept of augmented intelligence can reflect the enhanced capabilities of human decision-making in clinical settings when augmented with computation systems and methods. It includes real-life case studies highlighting impact of augmented intelligence in health care. The book offers a guided tour of computational intelligence algorithms, architecture design, and applications of learning in healthcare challenges. It presents a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It also presents specific applications of augmented intelligence in health care, and architectural models and frameworks-based augmented solutions.

Computational Intelligence and Its Applications in Healthcare

Author : Jitendra Kumar Verma
Publisher : Academic Press
ISBN 13 : 0128206195
Total Pages : 258 pages
Book Rating : 4.1/5 (282 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

Health Informatics: A Computational Perspective in Healthcare

Author : Ripon Patgiri
Publisher : Springer Nature
ISBN 13 : 9811597359
Total Pages : 384 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Health Informatics: A Computational Perspective in Healthcare by : Ripon Patgiri

Download or read book Health Informatics: A Computational Perspective in Healthcare written by Ripon Patgiri and published by Springer Nature. This book was released on 2021-01-30 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovative research works to demonstrate the potential and the advancements of computing approaches to utilize healthcare centric and medical datasets in solving complex healthcare problems. Computing technique is one of the key technologies that are being currently used to perform medical diagnostics in the healthcare domain, thanks to the abundance of medical data being generated and collected. Nowadays, medical data is available in many different forms like MRI images, CT scan images, EHR data, test reports, histopathological data and doctor patient conversation data. This opens up huge opportunities for the application of computing techniques, to derive data-driven models that can be of very high utility, in terms of providing effective treatment to patients. Moreover, machine learning algorithms can uncover hidden patterns and relationships present in medical datasets, which are too complex to uncover, if a data-driven approach is not taken. With the help of computing systems, today, it is possible for researchers to predict an accurate medical diagnosis for new patients, using models built from previous patient data. Apart from automatic diagnostic tasks, computing techniques have also been applied in the process of drug discovery, by which a lot of time and money can be saved. Utilization of genomic data using various computing techniques is another emerging area, which may in fact be the key to fulfilling the dream of personalized medications. Medical prognostics is another area in which machine learning has shown great promise recently, where automatic prognostic models are being built that can predict the progress of the disease, as well as can suggest the potential treatment paths to get ahead of the disease progression.

Machine Learning for Health Informatics

Author : Andreas Holzinger
Publisher : Springer
ISBN 13 : 3319504789
Total Pages : 481 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Machine Learning for Health Informatics by : Andreas Holzinger

Download or read book Machine Learning for Health Informatics written by Andreas Holzinger and published by Springer. This book was released on 2016-12-09 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. Tackling complex challenges needs both disciplinary excellence and cross-disciplinary networking without any boundaries. Following the HCI-KDD approach, in combining the best of two worlds, it is aimed to support human intelligence with machine intelligence. This state-of-the-art survey is an output of the international HCI-KDD expert network and features 22 carefully selected and peer-reviewed chapters on hot topics in machine learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress in this field.

Innovative Systems for Intelligent Health Informatics

Author : Faisal Saeed
Publisher : Springer Nature
ISBN 13 : 303070713X
Total Pages : 1262 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Innovative Systems for Intelligent Health Informatics by : Faisal Saeed

Download or read book Innovative Systems for Intelligent Health Informatics written by Faisal Saeed and published by Springer Nature. This book was released on 2021-05-05 with total page 1262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the papers included in the proceedings of the 5th International Conference of Reliable Information and Communication Technology 2020 (IRICT 2020) that was held virtually on December 21–22, 2020. The main theme of the book is “Innovative Systems for Intelligent Health Informatics”. A total of 140 papers were submitted to the conference, but only 111 papers were published in this book. The book presents several hot research topics which include health informatics, bioinformatics, information retrieval, artificial intelligence, soft computing, data science, big data analytics, Internet of things (IoT), intelligent communication systems, information security, information systems, and software engineering.

Machine Learning in Healthcare Informatics

Author : Sumeet Dua
Publisher : Springer Science & Business Media
ISBN 13 : 3642400175
Total Pages : 332 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Machine Learning in Healthcare Informatics by : Sumeet Dua

Download or read book Machine Learning in Healthcare Informatics written by Sumeet Dua and published by Springer Science & Business Media. This book was released on 2013-12-09 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a unique effort to represent a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. The book provides a unique compendium of current and emerging machine learning paradigms for healthcare informatics and reflects the diversity, complexity and the depth and breath of this multi-disciplinary area. The integrated, panoramic view of data and machine learning techniques can provide an opportunity for novel clinical insights and discoveries.

Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics

Author : Teena Bagga
Publisher : CRC Press
ISBN 13 : 100063051X
Total Pages : 282 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics by : Teena Bagga

Download or read book Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics written by Teena Bagga and published by CRC Press. This book was released on 2022-08-08 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing computational intelligence, IoT, blockchain, cloud and big data analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used in healthcare, its products, and its services. This book offers both theoretical and practical application-based chapters and presents novel technical studies on designing intelligent healthcare systems, products, and services. It offers conceptual and visionary content comprising hypothetical and speculative scenarios and will also include recently developed disruptive holistic techniques in healthcare and the monitoring of physiological data. Metaheuristic computational intelligence-based algorithms for analysis, diagnosis, and prevention of disease through disruptive technologies are also provided. Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics is written for researchers, academicians, and professionals to bring them up to speed on current research endeavours, as well as to introduce hypothetical and speculative scenarios.

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Signal Processing Techniques for Computational Health Informatics

Author : Md. Atiqur Rahman Ahad
Publisher :
ISBN 13 : 9783030549336
Total Pages : 0 pages
Book Rating : 4.5/5 (493 download)

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Book Synopsis Signal Processing Techniques for Computational Health Informatics by : Md. Atiqur Rahman Ahad

Download or read book Signal Processing Techniques for Computational Health Informatics written by Md. Atiqur Rahman Ahad and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on signal processing techniques used in computational health informatics. As computational health informatics is the interdisciplinary study of the design, development, adoption and application of information and technology-based innovations, specifically, computational techniques that are relevant in health care, the book covers a comprehensive and representative range of signal processing techniques used in biomedical applications, including: bio-signal origin and dynamics, sensors used for data acquisition, artefact and noise removal techniques, feature extraction techniques in the time, frequency, time-frequency and complexity domain, and image processing techniques in different image modalities. Moreover, it includes an extensive discussion of security and privacy challenges, opportunities and future directions for computational health informatics in the big data age, and addresses the incorporation of recent techniques from the areas of artificial intelligence, deep learning and human-computer interaction. The systematic analysis of the state-of-the-art techniques covered here helps to further our understanding of the physiological processes involved and expand our capabilities in medical diagnosis and prognosis. In closing, the book, the first of its kind, blends state-of-the-art theory and practices of signal processing techniques in the health informatics domain with real-world case studies building on those theories. As a result, it can be used as a text for health informatics courses to provide medics with cutting-edge signal processing techniques, or to introduce health professionals who are already serving in this sector to some of the most exciting computational ideas that paved the way for the development of computational health informatics.