Neuro Fuzzy Hybrid Models For Classification In Medical Diagnosis

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Neuro Fuzzy Hybrid Models for Classification in Medical Diagnosis

Patricia Melin,Juan Carlos Guzmán,German Prado-Arechiga
Neuro Fuzzy Hybrid Models for Classification in Medical Diagnosis Book PDF

Author : Patricia Melin,Juan Carlos Guzmán,German Prado-Arechiga
Publisher : Springer Nature
Page : 109 pages
File Size : 54,8 Mb
Release : 2020-10-27
Category : Technology & Engineering
ISBN : 9783030604813

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Neuro Fuzzy Hybrid Models for Classification in Medical Diagnosis by Patricia Melin,Juan Carlos Guzmán,German Prado-Arechiga Pdf

This book is focused on the use of intelligent techniques, such as fuzzy logic, neural networks and bio-inspired algorithms, and their application in medical diagnosis. The main idea is that the proposed method may be able to adapt to medical diagnosis problems in different possible areas of the medicine and help to have an improvement in diagnosis accuracy considering a clinical monitoring of 24 hours or more of the patient. In this book, tests were made with different architectures proposed in the different modules of the proposed model. First, it was possible to obtain the architecture of the fuzzy classifiers for the level of blood pressure and for the pressure load, and these were optimized with the different bio-inspired algorithms (Genetic Algorithm and Chicken Swarm Optimization). Secondly, we tested with a local database of 300 patients and good results were obtained. It is worth mentioning that this book is an important part of the proposed general model; for this reason, we consider that these modules have a good performance in a particular way, but it is advisable to perform more tests once the general model is completed.

Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis

Patricia Melin,Ivette Miramontes,German Prado Arechiga
Nature inspired Optimization of Type 2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis Book PDF

Author : Patricia Melin,Ivette Miramontes,German Prado Arechiga
Publisher : Springer Nature
Page : 134 pages
File Size : 45,7 Mb
Release : 2021-08-06
Category : Technology & Engineering
ISBN : 9783030822194

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Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis by Patricia Melin,Ivette Miramontes,German Prado Arechiga Pdf

This book describes the utilization of different soft computing techniques and their optimization for providing an accurate and efficient medical diagnosis. The proposed method provides a precise and timely diagnosis of the risk that a person has to develop a particular disease, but it can be adaptable to provide the diagnosis of different diseases. This book reflects the experimentation that was carried out, based on the different optimizations using bio-inspired algorithms (such as bird swarm algorithm, flower pollination algorithms, and others). In particular, the optimizations were carried out to design the fuzzy classifiers of the nocturnal blood pressure profile and heart rate level. In addition, to obtain the architecture that provides the best result, the neurons and the number of neurons per layers of the artificial neural networks used in the model are optimized. Furthermore, different tests were carried out with the complete optimized model. Another work that is presented in this book is the dynamic parameter adaptation of the bird swarm algorithm using fuzzy inference systems, with the aim of improving its performance. For this, different experiments are carried out, where mathematical functions and a monolithic neural network are optimized to compare the results obtained with the original algorithm. The book will be of interest for graduate students of engineering and medicine, as well as researchers and professors aiming at proposing and developing new intelligent models for medical diagnosis. In addition, it also will be of interest for people working on metaheuristic algorithms and their applications on medicine.

New Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic, Neural Networks and Metaheuristics

Oscar Castillo,Patricia Melin
New Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic Neural Networks and Metaheuristics Book PDF

Author : Oscar Castillo,Patricia Melin
Publisher : Springer Nature
Page : 471 pages
File Size : 42,7 Mb
Release : 2022-09-30
Category : Technology & Engineering
ISBN : 9783031082665

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New Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic, Neural Networks and Metaheuristics by Oscar Castillo,Patricia Melin Pdf

In this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are applied to areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also some papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical problems. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition and classification problems.

Fuzzy and Neuro-Fuzzy Systems in Medicine

Horia-Nicolai L Teodorescu,Abraham Kandel,Lakhmi C. Jain
Fuzzy and Neuro Fuzzy Systems in Medicine Book PDF

Author : Horia-Nicolai L Teodorescu,Abraham Kandel,Lakhmi C. Jain
Publisher : CRC Press
Page : 479 pages
File Size : 42,8 Mb
Release : 2017-11-22
Category : Medical
ISBN : 9781351364515

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Fuzzy and Neuro-Fuzzy Systems in Medicine by Horia-Nicolai L Teodorescu,Abraham Kandel,Lakhmi C. Jain Pdf

Fuzzy and Neuro-Fuzzy Systems in Medicineprovides a thorough review of state-of-the-art techniques and practices, defines and explains relevant problems, as well as provides solutions to these problems. After an introduction, the book progresses from one topic to another - with a linear development from fundamentals to applications.

Fuzzy Expert Systems for Disease Diagnosis

Kumar, A.V. Senthil
Fuzzy Expert Systems for Disease Diagnosis Book PDF

Author : Kumar, A.V. Senthil
Publisher : IGI Global
Page : 420 pages
File Size : 53,9 Mb
Release : 2014-11-30
Category : Medical
ISBN : 9781466672413

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Fuzzy Expert Systems for Disease Diagnosis by Kumar, A.V. Senthil Pdf

The development of fuzzy expert systems has provided new opportunities for problem solving amidst uncertainties. The medical field, in particular, has benefitted tremendously from advancing fuzzy system technologies. Fuzzy Expert Systems for Disease Diagnosis highlights the latest research and developments in fuzzy rule-based methods used in the detection of medical complications and illness. Offering emerging solutions and practical applications, this timely publication is designed for use by researchers, academicians, and students, as well as practitioners in the medical field.

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 : 43,9 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.

New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension

Patricia Melin,German Prado-Arechiga
New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension Book PDF

Author : Patricia Melin,German Prado-Arechiga
Publisher : Springer
Page : 92 pages
File Size : 55,9 Mb
Release : 2017-07-04
Category : Technology & Engineering
ISBN : 9783319611495

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New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension by Patricia Melin,German Prado-Arechiga Pdf

In this book, a new approach for diagnosis and risk evaluation of ar-terial hypertension is introduced. The new approach was implement-ed as a hybrid intelligent system combining modular neural net-works and fuzzy systems. The different responses of the hybrid system are combined using fuzzy logic. Finally, two genetic algo-rithms are used to perform the optimization of the modular neural networks parameters and fuzzy inference system parameters. The experimental results obtained using the proposed method on real pa-tient data show that when the optimization is used, the results can be better than without optimization. This book is intended to be a refer-ence for scientists and physicians interested in applying soft compu-ting techniques, such as neural networks, fuzzy logic and genetic algorithms, in medical diagnosis, but also in general to classification and pattern recognition and similar problems.

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

Yong Liu,Lipo Wang,Liang Zhao,Zhengtao Yu
Advances in Natural Computation Fuzzy Systems and Knowledge Discovery Book PDF

Author : Yong Liu,Lipo Wang,Liang Zhao,Zhengtao Yu
Publisher : Springer Nature
Page : 1004 pages
File Size : 49,8 Mb
Release : 2019-11-06
Category : Technology & Engineering
ISBN : 9783030324568

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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery by Yong Liu,Lipo Wang,Liang Zhao,Zhengtao Yu Pdf

This book discusses the recent advances in natural computation, fuzzy systems and knowledge discovery. Presenting selected, peer-reviewed papers from the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), held in Kunming, China, from 20 to 22 July 2019, it is a useful resource for researchers, including professors and graduate students, as well as R&D staff in industry.

Computer Vision and Robotics

Jagdish Chand Bansal,Andries Engelbrecht,Praveen Kumar Shukla
Computer Vision and Robotics Book PDF

Author : Jagdish Chand Bansal,Andries Engelbrecht,Praveen Kumar Shukla
Publisher : Springer Nature
Page : 541 pages
File Size : 46,9 Mb
Release : 2022-03-14
Category : Technology & Engineering
ISBN : 9789811682254

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Computer Vision and Robotics by Jagdish Chand Bansal,Andries Engelbrecht,Praveen Kumar Shukla Pdf

This book consists of a collection of the high-quality research articles in the field of computer vision and robotics which are presented in the International Conference on Computer Vision and Robotics (CVR 2021), organized by BBD University Lucknow, India, during 7–8 August 2021. The book discusses applications of computer vision and robotics in the fields like medical science, defence, and smart city planning. The book presents recent works from researchers, academicians, industry, and policy makers.

Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

Oscar Castillo,Patricia Melin
Hybrid Intelligent Systems in Control Pattern Recognition and Medicine Book PDF

Author : Oscar Castillo,Patricia Melin
Publisher : Springer Nature
Page : 354 pages
File Size : 45,9 Mb
Release : 2019-11-23
Category : Technology & Engineering
ISBN : 9783030341350

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine by Oscar Castillo,Patricia Melin Pdf

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their applications in areas such as: intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. The book is divided into five main parts. The first part proposes new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications; the second explores new concepts and algorithms in neural networks and fuzzy logic applied to recognition. The third part examines the theory and practice of meta-heuristics in various areas of application, while the fourth highlights diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical contexts. Finally, the fifth part focuses on applications of fuzzy logic, neural networks and meta-heuristics to robotics problems.

Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications

Oscar Castillo,Patricia Melin,Janusz Kacprzyk
Intuitionistic and Type 2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms Theory and Applications Book PDF

Author : Oscar Castillo,Patricia Melin,Janusz Kacprzyk
Publisher : Springer Nature
Page : 792 pages
File Size : 54,6 Mb
Release : 2020-02-27
Category : Technology & Engineering
ISBN : 9783030354459

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Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications by Oscar Castillo,Patricia Melin,Janusz Kacprzyk Pdf

This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization. The topic is highly relevant as most current intelligent systems and devices use some form of intelligent feature to enhance their performance. The book also presents new and advanced models and algorithms of type-2 fuzzy logic and intuitionistic fuzzy systems, which are of great interest to researchers in these areas. Further, it proposes novel, nature-inspired optimization algorithms and innovative neural models. Featuring contributions on theoretical aspects as well as applications, the book appeals to a wide audience.

Accuracy of rule extraction using a recursive-rule extraction algorithm with continuous attributes combined with a sampling selection technique for the diagnosis of liver disease

Yoichi Hayashi,Kazuhiro Fukunaga
Accuracy of rule extraction using a recursive rule extraction algorithm with continuous attributes combined with a sampling selection technique for the diagnosis of liver disease Book PDF

Author : Yoichi Hayashi,Kazuhiro Fukunaga
Publisher : Infinite Study
Page : 13 pages
File Size : 49,5 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 8210379456XXX

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Accuracy of rule extraction using a recursive-rule extraction algorithm with continuous attributes combined with a sampling selection technique for the diagnosis of liver disease by Yoichi Hayashi,Kazuhiro Fukunaga Pdf

Although liver cancer is the second most common cause of death from cancer worldwide, because of the limited accuracy and interpretability of extracted classification rules, the diagnosis of liver disease remains difficult. In addition, hepatitis, which is inflammation of the liver, can progress to fibrosis, cirrhosis, or even liver cancer.

Advanced Classification Techniques for Healthcare Analysis

Chakraborty, Chinmay
Advanced Classification Techniques for Healthcare Analysis Book PDF

Author : Chakraborty, Chinmay
Publisher : IGI Global
Page : 424 pages
File Size : 45,6 Mb
Release : 2019-02-22
Category : Medical
ISBN : 9781522577973

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Advanced Classification Techniques for Healthcare Analysis by Chakraborty, Chinmay Pdf

Medical and information communication technology professionals are working to develop robust classification techniques, especially in healthcare data/image analysis, to ensure quick diagnoses and treatments to patients. Without fast and immediate access to healthcare databases and information, medical professionals’ success rates and treatment options become limited and fall to disastrous levels. Advanced Classification Techniques for Healthcare Analysis provides emerging insight into classification techniques in delivering quality, accurate, and affordable healthcare, while also discussing the impact health data has on medical treatments. Featuring coverage on a broad range of topics such as early diagnosis, brain-computer interface, metaheuristic algorithms, clustering techniques, learning schemes, and mobile telemedicine, this book is ideal for medical professionals, healthcare administrators, engineers, researchers, academicians, and technology developers seeking current research on furthering information and communication technology that improves patient care.

Advances in Computer and Computational Sciences

Sanjiv K. Bhatia,Krishn K. Mishra,Shailesh Tiwari,Vivek Kumar Singh
Advances in Computer and Computational Sciences Book PDF

Author : Sanjiv K. Bhatia,Krishn K. Mishra,Shailesh Tiwari,Vivek Kumar Singh
Publisher : Springer
Page : 775 pages
File Size : 42,5 Mb
Release : 2017-05-25
Category : Technology & Engineering
ISBN : 9789811037702

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Advances in Computer and Computational Sciences by Sanjiv K. Bhatia,Krishn K. Mishra,Shailesh Tiwari,Vivek Kumar Singh Pdf

Exchange of information and innovative ideas are necessary to accelerate the development of technology. With advent of technology, intelligent and soft computing techniques came into existence with a wide scope of implementation in engineering sciences. Keeping this ideology in preference, this book includes the insights that reflect the ‘Advances in Computer and Computational Sciences’ from upcoming researchers and leading academicians across the globe. It contains high-quality peer-reviewed papers of ‘International Conference on Computer, Communication and Computational Sciences (ICCCCS 2016), held during 12-13 August, 2016 in Ajmer, India. These papers are arranged in the form of chapters. The content of the book is divided into two volumes that cover variety of topics such as intelligent hardware and software design, advanced communications, power and energy optimization, intelligent techniques used in internet of things, intelligent image processing, advanced software engineering, evolutionary and soft computing, security and many more. This book helps the perspective readers’ from computer industry and academia to derive the advances of next generation computer and communication technology and shape them into real life applications.

Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications

Deepak Gupta,Aditya Khamparia
Fog Edge and Pervasive Computing in Intelligent IoT Driven Applications Book PDF

Author : Deepak Gupta,Aditya Khamparia
Publisher : John Wiley & Sons
Page : 464 pages
File Size : 50,9 Mb
Release : 2021-01-07
Category : Technology & Engineering
ISBN : 9781119670070

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Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications by Deepak Gupta,Aditya Khamparia Pdf

A practical guide to the design, implementation, evaluation, and deployment of emerging technologies for intelligent IoT applications With the rapid development in artificially intelligent and hybrid technologies, IoT, edge, fog-driven, and pervasive computing techniques are becoming important parts of our daily lives. This book focuses on recent advances, roles, and benefits of these technologies, describing the latest intelligent systems from a practical point of view. Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications is also valuable for engineers and professionals trying to solve practical, economic, or technical problems. With a uniquely practical approach spanning multiple fields of interest, contributors cover theory, applications, and design methodologies for intelligent systems. These technologies are rapidly transforming engineering, industry, and agriculture by enabling real-time processing of data via computational, resource-oriented metaheuristics and machine learning algorithms. As edge/fog computing and associated technologies are implemented far and wide, we are now able to solve previously intractable problems. With chapters contributed by experts in the field, this book: Describes Machine Learning frameworks and algorithms for edge, fog, and pervasive computing Considers probabilistic storage systems and proven optimization techniques for intelligent IoT Covers 5G edge network slicing and virtual network systems that utilize new networking capacity Explores resource provisioning and bandwidth allocation for edge, fog, and pervasive mobile applications Presents emerging applications of intelligent IoT, including smart farming, factory automation, marketing automation, medical diagnosis, and more Researchers, graduate students, and practitioners working in the intelligent systems domain will appreciate this book’s practical orientation and comprehensive coverage. Intelligent IoT is revolutionizing every industry and field today, and Fog, Edge, and Pervasive Computing in Intelligent IoT Driven Applications provides the background, orientation, and inspiration needed to begin.