Artificial Intelligence And Computational Dynamics For Biomedical Research

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Artificial Intelligence and Computational Dynamics for Biomedical Research

Author : Ankur Saxena
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110762048
Total Pages : 298 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Artificial Intelligence and Computational Dynamics for Biomedical Research by : Ankur Saxena

Download or read book Artificial Intelligence and Computational Dynamics for Biomedical Research written by Ankur Saxena and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-11-07 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work presents the latest development in the field of computational intelligence to advance Big Data and Cloud Computing concerning applications in medical diagnosis. As forum for academia and professionals it covers state-of-the-art research challenges and issues in the digital information & knowledge management and the concerns along with the solutions adopted in these fields.

Computational Intelligence and Data Sciences

Author : Ayodeji Olalekan Salau
Publisher : CRC Press
ISBN 13 : 1000541754
Total Pages : 272 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Computational Intelligence and Data Sciences by : Ayodeji Olalekan Salau

Download or read book Computational Intelligence and Data Sciences written by Ayodeji Olalekan Salau and published by CRC Press. This book was released on 2022-03-11 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents futuristic trends in computational intelligence including algorithms as applicable to different application domains in health informatics covering bio-medical, bioinformatics, and biological sciences. Latest evolutionary approaches to solve optimization problems under biomedical engineering field are discussed. It provides conceptual framework with a focus on application of computational intelligence techniques in the domain of biomedical engineering and health informatics including real-time issues.

Computational Intelligence in Biomedical Engineering

Author : Rezaul Begg
Publisher : CRC Press
ISBN 13 : 1420005898
Total Pages : 396 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Computational Intelligence in Biomedical Engineering by : Rezaul Begg

Download or read book Computational Intelligence in Biomedical Engineering written by Rezaul Begg and published by CRC Press. This book was released on 2007-12-04 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: As in many other fields, biomedical engineers benefit from the use of computational intelligence (CI) tools to solve complex and non-linear problems. The benefits could be even greater if there were scientific literature that specifically focused on the biomedical applications of computational intelligence techniques. The first comprehensive field-

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare

Author : Janmenjoy Nayak
Publisher : Academic Press
ISBN 13 : 0128222611
Total Pages : 398 pages
Book Rating : 4.1/5 (282 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

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.

Artificial Intelligence in Healthcare and Medicine

Author : Kayvan Najarian
Publisher : CRC Press
ISBN 13 : 1000565815
Total Pages : 300 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Artificial Intelligence in Healthcare and Medicine by : Kayvan Najarian

Download or read book Artificial Intelligence in Healthcare and Medicine written by Kayvan Najarian and published by CRC Press. This book was released on 2022-04-06 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of the recent developments in clinical decision support systems, precision health, and data science in medicine. The book targets clinical researchers and computational scientists seeking to understand the recent advances of artificial intelligence (AI) in health and medicine. Since AI and its applications are believed to have the potential to revolutionize healthcare and medicine, there is a clear need to explore and investigate the state-of-the-art advancements in the field. This book provides a detailed description of the advancements, challenges, and opportunities of using AI in medical and health applications. Over 10 case studies are included in the book that cover topics related to biomedical image processing, machine learning for healthcare, clinical decision support systems, visualization of high dimensional data, data security and privacy, bioinformatics, and biometrics. The book is intended for clinical researchers and computational scientists seeking to understand the recent advances of AI in health and medicine. Many universities may use the book as a secondary training text. Companies in the healthcare sector can greatly benefit from the case studies covered in the book. Moreover, this book also: Provides an overview of the recent developments in clinical decision support systems, precision health, and data science in medicine Examines the advancements, challenges, and opportunities of using AI in medical and health applications Includes 10 cases for practical application and reference Kayvan Najarian is a Professor in the Department of Computational Medicine and Bioinformatics, Department of Electrical Engineering and Computer Science, and Department of Emergency Medicine at the University of Michigan, Ann Arbor. Delaram Kahrobaei is the University Dean for Research at City University of New York (CUNY), a Professor of Computer Science and Mathematics, Queens College CUNY, and the former Chair of Cyber Security, University of York. Enrique Domínguez is a professor in the Department of Computer Science at the University of Malaga and a member of the Biomedical Research Institute of Malaga. Reza Soroushmehr is a Research Assistant Professor in the Department of Computational Medicine and Bioinformatics and a member of the Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor.

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.

Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems

Author : Parvathaneni Naga Srinivasu
Publisher : Bentham Science Publishers
ISBN 13 : 1681089572
Total Pages : 225 pages
Book Rating : 4.6/5 (81 download)

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Book Synopsis Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems by : Parvathaneni Naga Srinivasu

Download or read book Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems written by Parvathaneni Naga Srinivasu and published by Bentham Science Publishers. This book was released on 2022-10-05 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems explains the emerging technology that currently drives computer-aided diagnosis, medical analysis and other electronic healthcare systems. 11 book chapters cover advances in biomedical engineering fields achieved through deep learning and soft-computing techniques. Readers are given a fresh perspective on the impact on the outcomes for healthcare professionals who are assisted by advanced computing algorithms. Key Features: - Covers emerging technologies in biomedical engineering and healthcare that assist physicians in diagnosis, treatment, and surgical planning in a multidisciplinary context - Provides examples of technical use cases for artificial intelligence, machine learning and deep learning in medicine, with examples of different algorithms - Introduces readers to the concept of telemedicine and electronic healthcare systems - Provides implementations of disease prediction models for different diseases including cardiovascular diseases, diabetes and Alzheimer's disease - Summarizes key information for learners - Includes references for advanced readers The book serves as an essential reference for academic readers, as well as computer science enthusiasts who want to familiarize themselves with the practical computing techniques in the field of biomedical engineering (with a focus on medical imaging) and medical informatics.

Computational Intelligence and Predictive Analysis for Medical Science

Author : Poonam Tanwar
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110715341
Total Pages : 362 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Computational Intelligence and Predictive Analysis for Medical Science by : Poonam Tanwar

Download or read book Computational Intelligence and Predictive Analysis for Medical Science written by Poonam Tanwar and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-11-08 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.

Soft Computing: Biomedical and Related Applications

Author : Nguyen Hoang Phuong
Publisher : Springer Nature
ISBN 13 : 3030766209
Total Pages : 325 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Soft Computing: Biomedical and Related Applications by : Nguyen Hoang Phuong

Download or read book Soft Computing: Biomedical and Related Applications written by Nguyen Hoang Phuong and published by Springer Nature. This book was released on 2021-06-16 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book lists current and potential biomedical uses of computational intelligence methods. These methods are used in diagnostics and treatment of such diseases as cancer, cardiac diseases, pneumonia, stroke, and COVID-19. Many biomedical problems are difficult; so, often, the current methods are not sufficient, new methods need to be developed. To confidently apply the new methods to critical life-and-death medical situations, it is important to first test these methods on less critical applications. The book describes several such promising new methods that have been tested on problems from agriculture, computer networks, economics and business, pavement engineering, politics, quantum computing, robotics, etc. This book helps practitioners and researchers to learn more about computational intelligence methods and their biomedical applications—and to further develop this important research direction.

Computer Intelligence Against Pandemics

Author : Siddhartha Bhattacharyya
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110767686
Total Pages : 386 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Computer Intelligence Against Pandemics by : Siddhartha Bhattacharyya

Download or read book Computer Intelligence Against Pandemics written by Siddhartha Bhattacharyya and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-08-07 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the most recent research and innovative developments regarding the new strains of COVID-19. While medical and natural sciences have been working instantly on deriving solutions and trying to protect humankind against such virus types, there is also a great focus on technological developments for improving the mechanism – momentum of science for effective and efficient solutions. At this point, computational intelligence is the most powerful tools for researchers to fight against COVID-19. Thanks to instant data-analyze and predictive techniques by computational intelligence, it is possible to get positive results and introduce revolutionary solutions against related medical diseases. By running capabilities – resources for rising the computational intelligence, technological fields like Artificial Intelligence (with Machine / Deep Learning), Data Mining, Applied Mathematics are essential components for processing data, recognizing patterns, modelling new techniques and improving the advantages of the computational intelligence more. Nowadays, there is a great interest in the application potentials of computational intelligence to be an effective approach for taking humankind more step away, after COVID-19 and before pandemics similar to the COVID-19 many appear.

Computational Intelligence in Biomedicine and Bioinformatics

Author : Tomasz G. Smolinski
Publisher : Springer
ISBN 13 : 3540707786
Total Pages : 432 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Computational Intelligence in Biomedicine and Bioinformatics by : Tomasz G. Smolinski

Download or read book Computational Intelligence in Biomedicine and Bioinformatics written by Tomasz G. Smolinski and published by Springer. This book was released on 2009-01-29 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to provide an overview of state-of-the-art methodologies currently utilized for biomedicine and/or bioinformatics-oriented applications. Researchers working in these fields will learn new methods to help tackle their problems.

Computational and Experimental Biomedical Sciences: Methods and Applications

Author : João Manuel R. S. Tavares
Publisher : Springer
ISBN 13 : 331915799X
Total Pages : 259 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Computational and Experimental Biomedical Sciences: Methods and Applications by : João Manuel R. S. Tavares

Download or read book Computational and Experimental Biomedical Sciences: Methods and Applications written by João Manuel R. S. Tavares and published by Springer. This book was released on 2015-03-16 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the full papers presented at ICCEBS 2013 – the 1st International Conference on Computational and Experimental Biomedical Sciences, which was organized in Azores, in October 2013. The included papers present and discuss new trends in those fields, using several methods and techniques, including active shape models, constitutive models, isogeometric elements, genetic algorithms, level sets, material models, neural networks, optimization and the finite element method, in order to address more efficiently different and timely applications involving biofluids, computer simulation, computational biomechanics, image based diagnosis, image processing and analysis, image segmentation, image registration, scaffolds, simulation and surgical planning. The main audience for this book consists of researchers, Ph.D students and graduate students with multidisciplinary interests related to the areas of artificial intelligence, bioengineering, biology, biomechanics, computational fluid dynamics, computational mechanics, computational vision, histology, human motion, imagiology, applied mathematics, medical image, medicine, orthopaedics, rehabilitation, speech production and tissue engineering.

Handbook of Artificial Intelligence in Biomedical Engineering

Author : Saravanan Krishnan
Publisher : CRC Press
ISBN 13 : 1000067637
Total Pages : 565 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Handbook of Artificial Intelligence in Biomedical Engineering by : Saravanan Krishnan

Download or read book Handbook of Artificial Intelligence in Biomedical Engineering written by Saravanan Krishnan and published by CRC Press. This book was released on 2021-03-29 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert’s knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts.

Healthcare Big Data Analytics

Author : Akash Kumar Bhoi
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110750945
Total Pages : 354 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Healthcare Big Data Analytics by : Akash Kumar Bhoi

Download or read book Healthcare Big Data Analytics written by Akash Kumar Bhoi and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-03-18 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights how optimized big data applications can be used for patient monitoring and clinical diagnosis. In fact, IoT-based applications are data-driven and mostly employ modern optimization techniques. The book also explores challenges, opportunities, and future research directions, discussing the stages of data collection and pre-processing, as well as the associated challenges and issues in data handling and setup.

Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems

Author : Kose, Utku
Publisher : IGI Global
ISBN 13 : 1522547703
Total Pages : 381 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems by : Kose, Utku

Download or read book Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems written by Kose, Utku and published by IGI Global. This book was released on 2018-03-31 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering. Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems is a pivotal reference source for emerging scholarly research on trends and techniques in the utilization of nature-inspired approaches in biomedical engineering. Featuring extensive coverage on relevant areas such as artificial intelligence, clinical decision support systems, and swarm intelligence, this publication is an ideal resource for medical practitioners, professionals, students, engineers, and researchers interested in the latest developments in biomedical technologies.

Soft Computing for Biomedical Applications and Related Topics

Author : Vladik Kreinovich
Publisher : Springer Nature
ISBN 13 : 3030495361
Total Pages : 322 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Soft Computing for Biomedical Applications and Related Topics by : Vladik Kreinovich

Download or read book Soft Computing for Biomedical Applications and Related Topics written by Vladik Kreinovich and published by Springer Nature. This book was released on 2020-06-29 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovative intelligent techniques, with an emphasis on their biomedical applications. Although many medical doctors are willing to share their knowledge – e.g. by incorporating it in computer-based advisory systems that can benefit other doctors – this knowledge is often expressed using imprecise (fuzzy) words from natural language such as “small,” which are difficult for computers to process. Accordingly, we need fuzzy techniques to handle such words. It is also desirable to extract general recommendations from the records of medical doctors’ decisions – by using machine learning techniques such as neural networks. The book describes state-of-the-art fuzzy, neural, and other techniques, especially those that are now being used, or potentially could be used, in biomedical applications. Accordingly, it will benefit all researchers and students interested in the latest developments, as well as practitioners who want to learn about new techniques.