Computational Intelligence For Clinical Diagnosis

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Computational Intelligence for Clinical Diagnosis

Ferdin Joe John Joseph,Valentina Emilia Balas,S. Suman Rajest,R. Regin
Computational Intelligence for Clinical Diagnosis Book PDF

Author : Ferdin Joe John Joseph,Valentina Emilia Balas,S. Suman Rajest,R. Regin
Publisher : Springer Nature
Page : 584 pages
File Size : 45,9 Mb
Release : 2023-06-05
Category : Technology & Engineering
ISBN : 9783031236839

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Computational Intelligence for Clinical Diagnosis by Ferdin Joe John Joseph,Valentina Emilia Balas,S. Suman Rajest,R. Regin Pdf

This book contains multidisciplinary advancements in healthcare and technology through artificial intelligence (AI). The topics are crafted in such a way to cover all the areas of healthcare that require AI for further development. Some of the topics that contain algorithms and techniques are explained with the help of source code developed by the chapter contributors. The book covers the advancements in AI and healthcare from the Covid 19 pandemic and also analyzes the readiness and need for advancements in managing yet another pandemic in the future. Most of the technologies addressed in this book are added with a concept of encapsulation to obtain a cookbook for anyone who needs to reskill or upskill themselves in order to contribute to an advancement in the field. This book benefits students, professionals, and anyone from any background to learn about digital disruptions in healthcare.

Computational Intelligence and Healthcare Informatics

Om Prakash Jena,Alok Ranjan Tripathy,Ahmed A. Elngar,Zdzislaw Polkowski
Computational Intelligence and Healthcare Informatics Book PDF

Author : Om Prakash Jena,Alok Ranjan Tripathy,Ahmed A. Elngar,Zdzislaw Polkowski
Publisher : John Wiley & Sons
Page : 434 pages
File Size : 53,9 Mb
Release : 2021-10-19
Category : Computers
ISBN : 9781119818687

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Computational Intelligence and Healthcare Informatics by Om Prakash Jena,Alok Ranjan Tripathy,Ahmed A. Elngar,Zdzislaw Polkowski Pdf

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 Processing in Medical Diagnosis

Manfred Schmitt,Horia-Nicolai Teodorescu,Ashlesha Jain,Ajita Jain,Sandhya Jain
Computational Intelligence Processing in Medical Diagnosis Book PDF

Author : Manfred Schmitt,Horia-Nicolai Teodorescu,Ashlesha Jain,Ajita Jain,Sandhya Jain
Publisher : Physica
Page : 513 pages
File Size : 44,9 Mb
Release : 2013-11-11
Category : Medical
ISBN : 9783790817881

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Computational Intelligence Processing in Medical Diagnosis by Manfred Schmitt,Horia-Nicolai Teodorescu,Ashlesha Jain,Ajita Jain,Sandhya Jain Pdf

Computational intelligence techniques are gaining momentum in the medical prognosis and diagnosis. This volume presents advanced applications of machine intelligence in medicine and bio-medical engineering. Applied methods include knowledge bases, expert systems, neural networks, neuro-fuzzy systems, evolvable systems, wavelet transforms, and specific internet applications. The volume is written in view of explaining to the practitioner the fundamental issues related to computational intelligence paradigms and to offer a fast and friendly-managed introduction to the most recent methods based on computer intelligence in medicine.

Computational Intelligence in Medical Decision Making and Diagnosis

Sitendra Tamrakar,Shruti Bhargava Choubey,Abhishek Choubey
Computational Intelligence in Medical Decision Making and Diagnosis Book PDF

Author : Sitendra Tamrakar,Shruti Bhargava Choubey,Abhishek Choubey
Publisher : Unknown
Page : 0 pages
File Size : 40,8 Mb
Release : 2023
Category : MEDICAL
ISBN : 1003309453

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Computational Intelligence in Medical Decision Making and Diagnosis by Sitendra Tamrakar,Shruti Bhargava Choubey,Abhishek Choubey Pdf

Computation intelligence (CI) paradigms, including artificial neural networks, fuzzy systems, evolutionary computing techniques, and intelligent agents, form the basis of making clinical decisions. This book explains different aspects of the current research on CI technologies applied in the field of medical diagnosis. It discusses critical issues related to medical diagnosis, like uncertainties in the medical domain, problems in the medical data, especially dealing with time-stamped data, and knowledge acquisition. Features: Introduces recent applications of new computational intelligence technologies focusing on medical diagnosis issues. Reviews multidisciplinary research in health care, like data mining, medical imaging, pattern recognition, and so forth. Explores intelligent systems and applications of learning in health-care challenges, along with the representation and reasoning of clinical uncertainty. Addresses problems resulting from automated data collection in modern hospitals, with possible solutions to support medical decision-making systems. Discusses current and emerging intelligent systems with respect to evolutionary computation and its applications in the medical domain. This book is aimed at researchers, professionals, and graduate students in computational intelligence, signal processing, imaging, artificial intelligence, and data analytics.

Computational Intelligence in Healthcare 4

Isabelle Bichindaritz,Sachin Vaidya,Ashlesha Jain
Computational Intelligence in Healthcare 4 Book PDF

Author : Isabelle Bichindaritz,Sachin Vaidya,Ashlesha Jain
Publisher : Springer
Page : 464 pages
File Size : 44,8 Mb
Release : 2010-10-05
Category : Technology & Engineering
ISBN : 9783642144646

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Computational Intelligence in Healthcare 4 by Isabelle Bichindaritz,Sachin Vaidya,Ashlesha Jain Pdf

Computational Intelligence is comparatively a new field but it has made a tremendous progress in virtually every discipline right from engineering, science, business, m- agement, aviation to healthcare. Computational intelligence already has a solid track-record of applications to healthcare, of which this book is a continuation. We would like to refer the reader to the excellent previous volumes in this series on computational intelligence in heal- care [1-3]. This book is aimed at providing the most recent advances and state of the art in the practical applications of computational intelligence paradigms in healthcare. It - cludes nineteen chapters on using various computational intelligence methods in healthcare such as intelligent agents and case-based reasoning. A number of fielded applications and case studies are presented. Highlighted are in particular novel c- putational approaches to the semantic management of health information such as in the Web 2.0, mobile agents such as in portable devices, learning agents capable of adapting to diverse clinical settings through case-based reasoning, and statistical - proaches in computational intelligence. This book is targeted towards scientists, application engineers, professors, health professionals, professors, and students. Background information on computational intelligence has been provided whenever necessary to facilitate the comprehension of a broad audience including healthcare practitioners.

Computational Intelligence in Healthcare

Amit Kumar Manocha,Shruti Jain,Mandeep Singh,Sudip Paul
Computational Intelligence in Healthcare Book PDF

Author : Amit Kumar Manocha,Shruti Jain,Mandeep Singh,Sudip Paul
Publisher : Springer Nature
Page : 418 pages
File Size : 53,7 Mb
Release : 2021-05-11
Category : Medical
ISBN : 9783030687236

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Computational Intelligence in Healthcare by Amit Kumar Manocha,Shruti Jain,Mandeep Singh,Sudip Paul Pdf

Artificial intelligent systems, which offer great improvement in healthcare sector assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing provide more intelligent and convenient solutions and services. With the help of the advanced techniques, now a days it is possible to understand human body and to handle & process the health data anytime and anywhere. It is a smart healthcare system which includes patient, hospital management, doctors, monitoring, diagnosis, decision making modules, disease prevention to meet the challenges and problems arises in healthcare industry. Furthermore, the advanced healthcare systems need to upgrade with new capabilities to provide human with more intelligent and professional healthcare services to further improve the quality of service and user experience. To explore recent advances and disseminate state-of-the-art techniques related to intelligent healthcare services and applications. This edited book involved in designing systems that will permit the societal acceptance of ambient intelligence including signal processing, imaging, computing, instrumentation, artificial intelligence, internet of health things, data analytics, disease detection, telemedicine, and their applications. As the book includes recent trends in research issues and applications, the contents will be beneficial to Professors, researchers, and engineers. This book will provide support and aid to the researchers involved in designing latest advancements in communication and intelligent systems that will permit the societal acceptance of ambient intelligence. This book presents the latest research being conducted on diverse topics in intelligence technologies with the goal of advancing knowledge and applications healthcare sector and to present the latest snapshot of the ongoing research as well as to shed further light on future directions in this space. The aim of publishing the book is to serve for educators, researchers, and developers working in recent advances and upcoming technologies utilizing computational sciences.

Artificial Intelligence for Data-Driven Medical Diagnosis

Deepak Gupta,Utku Kose,Bao Le Nguyen,Siddhartha Bhattacharyya
Artificial Intelligence for Data Driven Medical Diagnosis Book PDF

Author : Deepak Gupta,Utku Kose,Bao Le Nguyen,Siddhartha Bhattacharyya
Publisher : Walter de Gruyter GmbH & Co KG
Page : 326 pages
File Size : 42,9 Mb
Release : 2021-02-08
Category : Computers
ISBN : 9783110668322

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Artificial Intelligence for Data-Driven Medical Diagnosis by Deepak Gupta,Utku Kose,Bao Le Nguyen,Siddhartha Bhattacharyya Pdf

This book collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and healthcare. Medical data from different sources can also be analyzed via Artificial Intelligence techniques for more effective results.

Advanced Computational Intelligence Paradigms in Healthcare 5

Sheryl Brahnam,Lakhmi C. Jain
Advanced Computational Intelligence Paradigms in Healthcare 5 Book PDF

Author : Sheryl Brahnam,Lakhmi C. Jain
Publisher : Springer Science & Business Media
Page : 235 pages
File Size : 53,5 Mb
Release : 2010-10-13
Category : Computers
ISBN : 9783642160943

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Advanced Computational Intelligence Paradigms in Healthcare 5 by Sheryl Brahnam,Lakhmi C. Jain Pdf

This book is a continuation of the previous volumes of our series on Advanced Computational Intelligence Paradigms in Healthcare. The recent advances in computational intelligence paradigms have highlighted the need of intelligent systems in healthcare. This volume provides the reader a glimpse of the current state of the art in intelligent support system design in the field of healthcare. The book reports a sample of recent advances in: • Clinical Decision Support Systems • Rehabilitation Decision Support Systems • Technology Acceptance in Medical Decision Support Systems The book is directed to the researchers, professors, practitioner and students interested to design and develop intelligent decision support systems.

Computational Intelligence in Medical Decision Making and Diagnosis

Sitendra Tamrakar,Shruti Bhargava Choubey,Abhishek Choubey
Computational Intelligence in Medical Decision Making and Diagnosis Book PDF

Author : Sitendra Tamrakar,Shruti Bhargava Choubey,Abhishek Choubey
Publisher : CRC Press
Page : 286 pages
File Size : 49,5 Mb
Release : 2023-03-31
Category : Medical
ISBN : 9781000853896

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Computational Intelligence in Medical Decision Making and Diagnosis by Sitendra Tamrakar,Shruti Bhargava Choubey,Abhishek Choubey Pdf

Computation intelligence (CI) paradigms, including artificial neural networks, fuzzy systems, evolutionary computing techniques, and intelligent agents, form the basis of making clinical decisions. This book explains different aspects of the current research on CI technologies applied in the field of medical diagnosis. It discusses critical issues related to medical diagnosis, like uncertainties in the medical domain, problems in the medical data, especially dealing with time-stamped data, and knowledge acquisition. Features: Introduces recent applications of new computational intelligence technologies focusing on medical diagnosis issues. Reviews multidisciplinary research in health care, like data mining, medical imaging, pattern recognition, and so forth. Explores intelligent systems and applications of learning in health-care challenges, along with the representation and reasoning of clinical uncertainty. Addresses problems resulting from automated data collection in modern hospitals, with possible solutions to support medical decision-making systems. Discusses current and emerging intelligent systems with respect to evolutionary computation and its applications in the medical domain. This book is aimed at researchers, professionals, and graduate students in computational intelligence, signal processing, imaging, artificial intelligence, and data analytics.

New Medical Diagnosis Models Based on Generalized Type-2 Fuzzy Logic

Patricia Melin,Emanuel Ontiveros-Robles,Oscar Castillo
New Medical Diagnosis Models Based on Generalized Type 2 Fuzzy Logic Book PDF

Author : Patricia Melin,Emanuel Ontiveros-Robles,Oscar Castillo
Publisher : Springer Nature
Page : 85 pages
File Size : 48,7 Mb
Release : 2021-06-03
Category : Technology & Engineering
ISBN : 9783030750978

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New Medical Diagnosis Models Based on Generalized Type-2 Fuzzy Logic by Patricia Melin,Emanuel Ontiveros-Robles,Oscar Castillo Pdf

This book presents different experimental results as evidence of the good results obtained compared with respect to conventional approaches and literature references based on fuzzy logic. Nowadays, the evolution of intelligence systems for decision making has been reached considerable levels of success, as these systems are getting more intelligent and can be of great help to experts in decision making. One of the more important realms in decision making is the area of medical diagnosis, and many kinds of intelligence systems provide the expert good assistance to perform diagnosis; some of these methods are, for example, artificial neural networks (can be very powerful to find tendencies), support vector machines, that avoid overfitting problems, and statistical approaches (e.g., Bayesian). However, the present research is focused on one of the most relevant kinds of intelligent systems, which are the fuzzy systems. The main objective of the present work is the generation of fuzzy diagnosis systems that offer competitive classifiers to be applied in diagnosis systems. To generate these systems, we have proposed a methodology for the automatic design of classifiers and is focused in the Generalized Type-2 Fuzzy Logic, because the uncertainty handling can provide us with the robustness necessary to be competitive with other kinds of methods. In addition, different alternatives to the uncertainty modeling, rules-selection, and optimization have been explored. Besides, different experimental results are presented as evidence of the good results obtained when compared with respect to conventional approaches and literature references based on Fuzzy Logic.

Computational Intelligence in Cancer Diagnosis

Janmenjoy Nayak,Danilo Pelusi,Bighnaraj Naik,Mishra Manohar,Khan Muhammad,David Al-Dabass
Computational Intelligence in Cancer Diagnosis Book PDF

Author : Janmenjoy Nayak,Danilo Pelusi,Bighnaraj Naik,Mishra Manohar,Khan Muhammad,David Al-Dabass
Publisher : Academic Press
Page : 422 pages
File Size : 55,7 Mb
Release : 2023-04-12
Category : Science
ISBN : 9780323903530

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Computational Intelligence in Cancer Diagnosis by Janmenjoy Nayak,Danilo Pelusi,Bighnaraj Naik,Mishra Manohar,Khan Muhammad,David Al-Dabass Pdf

Computational Intelligence in Cancer Diagnosis: Progress and Challenges provides insights into the current strength and weaknesses of different applications and research findings on computational intelligence in cancer research. The book improves the exchange of ideas and coherence among various computational intelligence methods and enhances the relevance and exploitation of application areas for both experienced and novice end-users. Topics discussed include neural networks, fuzzy logic, connectionist systems, genetic algorithms, evolutionary computation, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. The book's chapters are written by international experts from both cancer research, oncology and computational sides to cover different aspects and make it comprehensible for readers with no background on informatics. Contains updated information about advanced computational intelligence, spanning the areas of neural networks, fuzzy logic, connectionist systems, genetic algorithms, evolutionary computation, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems in diagnosing cancer diseases Discusses several cancer types, including their detection, treatment and prevention Presents case studies that illustrate the applications of intelligent computing in data analysis to help readers to analyze and advance their research in cancer

Computational Intelligence for COVID-19 and Future Pandemics

Utku Kose,Junzo Watada,Omer Deperlioglu,Jose Antonio Marmolejo Saucedo
Computational Intelligence for COVID 19 and Future Pandemics Book PDF

Author : Utku Kose,Junzo Watada,Omer Deperlioglu,Jose Antonio Marmolejo Saucedo
Publisher : Springer Nature
Page : 435 pages
File Size : 43,8 Mb
Release : 2022-01-01
Category : Technology & Engineering
ISBN : 9789811637834

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Computational Intelligence for COVID-19 and Future Pandemics by Utku Kose,Junzo Watada,Omer Deperlioglu,Jose Antonio Marmolejo Saucedo Pdf

The book covers a wide topic collection starting from essentials of Computational Intelligence to advance, and possible application types against COVID-19 as well as its effects on the field of medical, social, and different data-oriented research scopes. Among these topics, the book also covers very recently, vital topics in terms of fighting against COVID-19 and solutions for future pandemics. The book includes the use of computational intelligence for especially medical diagnosis and treatment, and also data-oriented tracking-predictive solutions, which are key components currently for fighting against COVID-19. In this way, the book will be a key reference work for understanding how computational intelligence and the most recent technologies (i.e. Internet of Healthcare Thing, big data, and data science techniques) can be employed in solution phases and how they change the way of future solutions. The book also covers research works with negative results so that possible disadvantages of using computational intelligence solutions and/or experienced side-effects can be known widely for better future of medical solutions and use of intelligent systems against COVID-19 and pandemics. The book is considering both theoretical and applied views to enable readers to be informed about not only research works but also theoretical views about essentials/components of intelligent systems against COVID-19/pandemics, possible modeling scenarios with current and future perspective as well as solution strategies thought by researchers all over the world.

Medical Diagnosis Using Artificial Neural Networks

Moein, Sara
Medical Diagnosis Using Artificial Neural Networks Book PDF

Author : Moein, Sara
Publisher : IGI Global
Page : 310 pages
File Size : 51,9 Mb
Release : 2014-06-30
Category : Medical
ISBN : 9781466661479

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Medical Diagnosis Using Artificial Neural Networks by Moein, Sara Pdf

Advanced conceptual modeling techniques serve as a powerful tool for those in the medical field by increasing the accuracy and efficiency of the diagnostic process. The application of artificial intelligence assists medical professionals to analyze and comprehend a broad range of medical data, thus eliminating the potential for human error. Medical Diagnosis Using Artificial Neural Networks introduces effective parameters for improving the performance and application of machine learning and pattern recognition techniques to facilitate medical processes. This book is an essential reference work for academicians, professionals, researchers, and students interested in the relationship between artificial intelligence and medical science through the use of informatics to improve the quality of medical care.

Computational Intelligence in Healthcare Applications

Rajeev Agrawal,M. A. Ansari,R. S. Anand,Sweta Sneha,Rajat Mehrotra
Computational Intelligence in Healthcare Applications Book PDF

Author : Rajeev Agrawal,M. A. Ansari,R. S. Anand,Sweta Sneha,Rajat Mehrotra
Publisher : Academic Press
Page : 376 pages
File Size : 48,6 Mb
Release : 2022-07-14
Category : Science
ISBN : 9780323993746

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Computational Intelligence in Healthcare Applications by Rajeev Agrawal,M. A. Ansari,R. S. Anand,Sweta Sneha,Rajat Mehrotra Pdf

Computational Intelligence in Healthcare Applications discusses a variety of techniques designed to represent, enhance and empower inter-domain research based on computational intelligence in healthcare. The book serves as a reference for the pervasive healthcare domain which takes into consideration new convergent computing and other applications. The book discusses topics such as mathematical modeling in medical imaging, predictive modeling based on artificial intelligence and deep learning, smart healthcare and wearable devices, and evidence-based predictive modeling. In addition, it discusses computer-aided diagnostic for clinical inferences and pervasive and ubiquitous techniques in healthcare. This book is a valuable resource for graduate students and researchers in medical informatics, however, it is also ideal for members of the biomedical field and healthcare industry who are interested in learning more about novel technologies and their applications in the field. Presents advanced procedures to address and enhance available diagnostic methods Focuses on identifying challenges and solutions through an integrated approach that shapes a path for new research dimensions Discusses the implementation of deep learning techniques for the detection and classification of diseases

Disruptive Trends in Computer Aided Diagnosis

Rik Das,Sudarshan Nandy,Siddhartha Bhattacharyya
Disruptive Trends in Computer Aided Diagnosis Book PDF

Author : Rik Das,Sudarshan Nandy,Siddhartha Bhattacharyya
Publisher : CRC Press
Page : 219 pages
File Size : 52,6 Mb
Release : 2021-09-28
Category : Computers
ISBN : 9781000414691

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Disruptive Trends in Computer Aided Diagnosis by Rik Das,Sudarshan Nandy,Siddhartha Bhattacharyya Pdf

An integrated interdisciplinary approach to address complex computer aided diagnosis problems and limitations. Elucidates a rich summary of the state-of-the-art tools and techniques related to automated detection and diagnosis of life threatening diseases including pandemics. Machine learning and deep learning methodologies on evolving accurate and precise early detection and medical diagnosis systems. Information presented in an accessible way for students, researchers and medical practitioners.