Natural and Artificial Computation in Engineering and Medical Applications

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Publisher : Springer
ISBN 13 : 3642386229
Total Pages : 497 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Natural and Artificial Computation in Engineering and Medical Applications by : Jose Manuel Ferrandez Vicente

Download or read book Natural and Artificial Computation in Engineering and Medical Applications written by Jose Manuel Ferrandez Vicente and published by Springer. This book was released on 2013-06-03 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume-set, LNCS 7930 and LNCS 7931, constitutes the refereed proceedings of the 5th International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2013, held in Mallorca, Spain, in June 2013. The 92 revised full papers presented in LNCS 7930 and LNCS 7931 were carefully reviewed and selected from numerous submissions. The first part, LNCS 7930, entitled "Natural and Artificial Models in Computation and Biology”, includes all the contributions mainly related to the methodological, conceptual, formal, and experimental developments in the fields of neurophysiology and cognitive science. The second part, LNCS 7931, entitled “Natural and Artificial Computation in Engineering and Medical Applications”, contains the papers related to bioinspired programming strategies and all the contributions related to the computational solutions to engineering problems in different application domains, specially Health applications, including the CYTED “Artificial and Natural Computation for Health” (CANS) research network papers. In addition, this two volume-set reflects six interesting areas: cognitive robotics; natural computing; wetware computation; quality of life technologies; biomedical and industrial perception applications; and Web intelligence and neuroscience.

Natural and Artificial Models in Computation and Biology

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Publisher : Springer
ISBN 13 : 3642386377
Total Pages : 458 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Natural and Artificial Models in Computation and Biology by : Jose Manuel Ferrandez Vicente

Download or read book Natural and Artificial Models in Computation and Biology written by Jose Manuel Ferrandez Vicente and published by Springer. This book was released on 2013-06-03 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume-set, LNCS 7930 and LNCS 7931, constitutes the refereed proceedings of the 5th International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2013, held in Mallorca, Spain, in June 2013. The 92 revised full papers presented in LNCS 7930 and LNCS 7931 were carefully reviewed and selected from numerous submissions. The first part, LNCS 7930, entitled "Natural and Artificial Models in Computation and Biology”, includes all the contributions mainly related to the methodological, conceptual, formal, and experimental developments in the fields of neurophysiology and cognitive science. The second part, LNCS 7931, entitled “Natural and Artificial Computation in Engineering and Medical Applications”, contains the papers related to bioinspired programming strategies and all the contributions related to the computational solutions to engineering problems in different application domains, specially Health applications, including the CYTED “Artificial and Natural Computation for Health” (CANS) research network papers. In addition, this two volume-set reflects six interesting areas: cognitive robotics; natural computing; wetware computation; quality of life technologies; biomedical and industrial perception applications; and Web intelligence and neuroscience.

From Bioinspired Systems and Biomedical Applications to Machine Learning

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Publisher : Springer
ISBN 13 : 3030196518
Total Pages : 476 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis From Bioinspired Systems and Biomedical Applications to Machine Learning by : José Manuel Ferrández Vicente

Download or read book From Bioinspired Systems and Biomedical Applications to Machine Learning written by José Manuel Ferrández Vicente and published by Springer. This book was released on 2019-05-09 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 11486 and 11487 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, held in Almería, Spain,, in June 2019. The total of 103 contributions was carefully reviewed and selected from 190 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on understanding the brain function and emotions, addressing topics such as new tools for analyzing neural data, or detection emotional states, or interfacing with physical systems. The second volume deals with bioinspired systems and biomedical applications to machine learning and contains papers related bioinspired programming strategies and all the contributions oriented to the computational solutions to engineering problems in different applications domains, as biomedical systems, or big data solutions.

Deep Learning for Medical Applications with Unique Data

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Publisher : Academic Press
ISBN 13 : 0128241462
Total Pages : 258 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Deep Learning for Medical Applications with Unique Data by : Deepak Gupta

Download or read book Deep Learning for Medical Applications with Unique Data written by Deepak Gupta and published by Academic Press. This book was released on 2022-02-15 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning for Medical Applications with Unique Data informs readers about the most recent deep learning-based medical applications in which only unique data gathered in real cases are used. The book provides examples of how deep learning can be used in different problem areas and frameworks in both clinical and research settings, including medical image analysis, medical image registration, time series analysis, medical data synthesis, drug discovery, and pre-processing operations. The volume discusses not only positive findings, but also negative ones obtained by deep learning techniques, including the use of newly developed deep learning techniques rarely reported in the existing literature. The book excludes research works with ready data sets and includes only unique data use to better understand the state of deep learning in real-world cases, along with the feedback and user experiences from physicians and medical staff for applied deep learning-based solutions. Other applications presented in the book include hybrid solutions with deep learning support, disease diagnosis with deep learning focusing on rare diseases and cancer, patient care and treatment, genomics research, as well as research on robotics and autonomous systems. Introduces deep learning, demonstrating concepts for a wide variety of medical applications using unique data, excluding research with ready datasets Encompasses a wide variety of biomedical applications, including unsupervised learning, natural language processing, pattern recognition, image and video processing and disease diagnosis Provides a robust set of methods that will help readers appropriately and judiciously use the most suitable deep learning techniques for their applications

Artificial Intelligence in Healthcare

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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

Artificial Intelligence in Medicine

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Publisher : Springer
ISBN 13 : 303021642X
Total Pages : 431 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Artificial Intelligence in Medicine by : David Riaño

Download or read book Artificial Intelligence in Medicine written by David Riaño and published by Springer. This book was released on 2019-06-19 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.

Advances in Artificial Systems for Medicine and Education II

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Publisher : Springer
ISBN 13 : 3030120821
Total Pages : 787 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Advances in Artificial Systems for Medicine and Education II by : Zhengbing Hu

Download or read book Advances in Artificial Systems for Medicine and Education II written by Zhengbing Hu and published by Springer. This book was released on 2019-05-16 with total page 787 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the proceedings of the Second International Conference of Artificial Intelligence, Medical Engineering, Education (AIMEE2018), held in Moscow, Russia, on 6–8 October 2018. The conference covered advances in the development of artificial intelligence systems and their applications in various fields, from medicine and technology to education. The papers presented in the book discuss topics in mathematics and biomathematics; medical approaches; and technological and educational approaches. Given the rapid development of artificial intelligence systems, the book highlights the need for more intensive training for a growing number of specialists, particularly in medical engineering, to increase the effectiveness of medical diagnosis and treatment. The book is intended for specialists, students and other readers who would like to know where artificial intelligence systems can beneficially be applied in the future.

Computational Intelligence and Its Applications in Healthcare

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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

Computational Intelligence Aided Systems for Healthcare Domain

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Publisher : CRC Press
ISBN 13 : 1000884341
Total Pages : 437 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Computational Intelligence Aided Systems for Healthcare Domain by : Akshansh Gupta

Download or read book Computational Intelligence Aided Systems for Healthcare Domain written by Akshansh Gupta and published by CRC Press. This book was released on 2023-06-14 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers recent advances in artificial intelligence, smart computing, and their applications in augmenting medical and health care systems. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical. This book: Presents architecture, characteristics, and applications of artificial intelligence and smart computing in health care systems Highlights privacy issues faced in health care and health informatics using artificial intelligence and smart computing technologies Discusses nature-inspired computing algorithms for the brain-computer interface Covers graph neural network application in the medical domain Provides insights into the state-of-the-art artificial intelligence and smart computing enabling and emerging technologies This book discusses recent advances and applications of artificial intelligence and smart technologies in the field of healthcare. It highlights privacy issues faced in health care and health informatics using artificial intelligence and smart computing technologies. It covers nature-inspired computing algorithms such as genetic algorithms, particle swarm optimization algorithms, and common scrambling algorithms to study brain-computer interfaces. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and biomedical engineering.

Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach

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Publisher : Springer Science & Business Media
ISBN 13 : 3540263195
Total Pages : 659 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach by : José Mira

Download or read book Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach written by José Mira and published by Springer Science & Business Media. This book was released on 2005-06-13 with total page 659 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 3561 and LNCS 3562 constitute the refereed proceedings of the First International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2005, held in Las Palmas, Canary Islands, Spain in June 2005. The 118 revised papers presented are thematically divided into two volumes; the first includes all the contributions mainly related with the methodological, conceptual, formal, and experimental developments in the fields of Neurophysiology and cognitive science. The second volume collects the papers related with bioinspired programming strategies and all the contributions related with the computational solutions to engineering problems in different application domains.

Advances in Artificial Systems for Medicine and Education

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Publisher : Springer
ISBN 13 : 3319673491
Total Pages : 357 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Advances in Artificial Systems for Medicine and Education by : Zhengbing Hu

Download or read book Advances in Artificial Systems for Medicine and Education written by Zhengbing Hu and published by Springer. This book was released on 2017-08-19 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an overview of the latest artificial intelligence systems and methods, which have a broad spectrum of effective and sometimes unexpected applications in medical, educational and other fields of sciences and technology. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of human and other organisms, and the in-depth study of genetic systems and inherited biological processes can provide new approaches to create more and more effective artificial intelligence methods. The book focuses on the intensive development of bio-mathematical studies on living organism patents, which ensure the noise immunity of genetic information, its quasi-holographic features, and its connection with the Boolean algebra of logic used in technical artificial intelligence systems. In other words, the study of genetic systems and creation of methods of artificial intelligence go hand in hand, mutually enriching enrich each other. These proceedings comprise refereed papers presented at the 1st International Conference of Artificial Intelligence, Medical Engineering, and Education (AIMEE2017), held at the Mechanical Engineering Institute of the Russian Academy of Sciences, Moscow, Russia on 21–23 August 2017. The topics discussed include advances in thematic mathematics and bio-mathematics; advances in thematica medical approaches; and advances in thematic technological and educational approaches. The book is a compilation of state-of-the-art papers in the field, covering a comprehensive range of subjects that are relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers and academics, as well as undergraduate and postgraduate students interested in artificial intelligence and bioinformatics systems as well as their growing applications

Biomedical Applications Based on Natural and Artificial Computing

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Publisher : Springer
ISBN 13 : 3319597736
Total Pages : 574 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Biomedical Applications Based on Natural and Artificial Computing by : José Manuel Ferrández Vicente

Download or read book Biomedical Applications Based on Natural and Artificial Computing written by José Manuel Ferrández Vicente and published by Springer. This book was released on 2017-06-10 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volumes LNCS 10337 and 10338 constitute the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, held in Corunna, Spain, in June 2017. The total of 102 full papers was carefully reviewed and selected from 194 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on natural and artificial computation for biomedicine and neuroscience, addressing topics such as theoretical neural computation; models; natural computing in bioinformatics; physiological computing in affective smart environments; emotions; as well as signal processing and machine learning applied to biomedical and neuroscience applications. The second volume deals with biomedical applications, based on natural and artificial computing and addresses topics such as biomedical applications; mobile brain computer interaction; human robot interaction; deep learning; machine learning applied to big data analysis; computational intelligence in data coding and transmission; and applications.

Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications

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Publisher : Springer Nature
ISBN 13 : 3031639294
Total Pages : 254 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications by : Nguyen Hoang Phuong

Download or read book Machine Learning and Other Soft Computing Techniques: Biomedical and Related Applications written by Nguyen Hoang Phuong and published by Springer Nature. This book was released on with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Artificial Intelligence in Biomedical Engineering

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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.

Medical Data Analysis and Processing using Explainable Artificial Intelligence

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Publisher : CRC Press
ISBN 13 : 100098365X
Total Pages : 287 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Medical Data Analysis and Processing using Explainable Artificial Intelligence by : Om Prakash Jena

Download or read book Medical Data Analysis and Processing using Explainable Artificial Intelligence written by Om Prakash Jena and published by CRC Press. This book was released on 2023-11-02 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text presents concepts of explainable artificial intelligence (XAI) in solving real world biomedical and healthcare problems. It will serve as an ideal reference text for graduate students and academic researchers in diverse fields of engineering including electrical, electronics and communication, computer, and biomedical. Presents explainable artificial intelligence (XAI) based machine analytics and deep learning in medical science. Discusses explainable artificial intelligence (XA)I with the Internet of Medical Things (IoMT) for healthcare applications. Covers algorithms, tools, and frameworks for explainable artificial intelligence on medical data. Explores the concepts of natural language processing and explainable artificial intelligence (XAI) on medical data processing. Discusses machine learning and deep learning scalability models in healthcare systems. This text focuses on data driven analysis and processing of advanced methods and techniques with the help of explainable artificial intelligence (XAI) algorithms. It covers machine learning, Internet of Things (IoT), and deep learning algorithms based on XAI techniques for medical data analysis and processing. The text will present different dimensions of XAI based computational intelligence applications. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and biomedical engineering.

Bioinspired Systems for Translational Applications: From Robotics to Social Engineering

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Publisher : Springer Nature
ISBN 13 : 3031611373
Total Pages : 553 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Bioinspired Systems for Translational Applications: From Robotics to Social Engineering by : José Manuel Ferrández Vicente

Download or read book Bioinspired Systems for Translational Applications: From Robotics to Social Engineering written by José Manuel Ferrández Vicente and published by Springer Nature. This book was released on with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare

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Author :
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