Handbook Of Decision Support Systems For Neurological Disorders

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Handbook Of Decision Support Systems For Neurological Disorders

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Author : D. Jude Hemanth
language : en
Publisher: Academic Press
Release Date : 2021-03-30

Handbook Of Decision Support Systems For Neurological Disorders written by D. Jude Hemanth and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-30 with Science categories.

Handbook of Decision Support Systems for Neurological Disorders provides readers with complete coverage of advanced computer-aided diagnosis systems for neurological disorders. While computer-aided decision support systems for different medical imaging modalities are available, this is the first book to solely concentrate on decision support systems for neurological disorders. Due to the increase in the prevalence of diseases such as Alzheimer, Parkinson's and Dementia, this book will have significant importance in the medical field. Topics discussed include recent computational approaches, different types of neurological disorders, deep convolution neural networks, generative adversarial networks, auto encoders, recurrent neural networks, and modified/hybrid artificial neural networks. - Includes applications of computer intelligence and decision support systems for the diagnosis and analysis of a variety of neurological disorders - Presents in-depth, technical coverage of computer-aided systems for tumor image classification, Alzheimer's disease detection, dementia detection using deep belief neural networks, and morphological approaches for stroke detection - Covers disease diagnosis for cerebral palsy using auto-encoder approaches, contrast enhancement for performance enhanced diagnosis systems, autism detection using fuzzy logic systems, and autism detection using generative adversarial networks - Written by engineers to help engineers, computer scientists, researchers and clinicians understand the technology and applications of decision support systems for neurological disorders

Data Analysis For Neurodegenerative Disorders

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Author : Deepika Koundal
language : en
Publisher: Springer Nature
Release Date : 2023-05-31

Data Analysis For Neurodegenerative Disorders written by Deepika Koundal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-31 with Medical categories.

This book explores the challenges involved in handling medical big data in the diagnosis of neurological disorders. It discusses how to optimally reduce the number of neuropsychological tests during the classification of these disorders by using feature selection methods based on the diagnostic information of enrolled subjects. The book includes key definitions/models and covers their applications in different types of signal/image processing for neurological disorder data. An extensive discussion on the possibility of enhancing the abilities of AI systems using the different data analysis is included. The book recollects several applicable basic preliminaries of the different AI networks and models, while also highlighting basic processes in image processing for various neurological disorders. It also reports on several applications to image processing and explores numerous topics concerning the role of big data analysis in addressing signal and image processing in various real-world scenarios involving neurological disorders. This cutting-edge book highlights the analysis of medical data, together with novel procedures and challenges for handling neurological signals and images. It will help engineers, researchers and software developers to understand the concepts and different models of AI and data analysis. To help readers gain a comprehensive grasp of the subject, it focuses on three key features: ● Presents outstanding concepts and models for using AI in clinical applications involving neurological disorders, with clear descriptions of image representation, feature extraction and selection. ● Highlights a range of techniques for evaluating the performance of proposed CAD systems for the diagnosis of neurological disorders. ● Examines various signal and image processing methods for efficient decision support systems. Soft computing, machine learning and optimization algorithms are also included to improve the CAD systems used.

Progress In Artificial Intelligence And Pattern Recognition

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Author : Yanio Hernández Heredia
language : en
Publisher: Springer Nature
Release Date : 2023-12-19

Progress In Artificial Intelligence And Pattern Recognition written by Yanio Hernández Heredia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-19 with Computers categories.

This book constitutes the refereed proceedings of the 8th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2023, held in Varadero, Cuba, in October 2023. The 68 papers presented in the proceedings set were carefully reviewed and selected from 38 submissions. The IWAIPR conference aims to provide a leading international forum to promote and disseminate ongoing research into mathematical methods of computing techniques for Artifical Intelligence and Pattern Recognition.

Handbook On Augmenting Telehealth Services

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Author : Sonali Vyas
language : en
Publisher: CRC Press
Release Date : 2024-01-30

Handbook On Augmenting Telehealth Services written by Sonali Vyas and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-30 with Computers categories.

Handbook on Augmenting Telehealth Services: Using Artificial Intelligence provides knowledge of AI-empowered telehealth systems for efficient healthcare services. The handbook discusses novel innovations in telehealth using AI techniques and also focuses on emerging tools and techniques in smart health systems. The book highlights important topics such as remote diagnosis of patients and presents e-health data management showcasing smart methods that can be used to improvise healthcare support and services. The handbook also shines a light on future trends in AI-enabled telehealth systems. Features Provides knowledge of AI-empowered telehealth systems for efficient healthcare services Discusses novel innovations in telehealth using AI techniques Covers emerging tools and techniques in smart health systems Highlights remote diagnosis of patients Focuses on e-health data management and showcases smart methods used to improvise healthcare support and services Shines a light on future trends in AI-enabled telehealth systems Every individual (patients, doctors, healthcare staff, etc.) is currently getting adapted to this new evolution of healthcare. This handbook is a must-read for students, researchers, academicians, and industry professionals working in the field of artificial intelligence and its uses in the healthcare sector.

Glossary Of Health Data Statistics And Public Health Indicators

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Author : World Health Organization
language : en
Publisher: World Health Organization
Release Date : 2025-01-22

Glossary Of Health Data Statistics And Public Health Indicators written by World Health Organization and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Medical categories.

This resources it the standardized WHO glossary of the following terms: - Public health data terms: Including those related to collection, disaggregation, analysis and management of public health data. - Statistical terms: Incorporating the most common statistical methods used to analyse public health data and health indicators. - Health indicator terms: Comprising terminology related to health indicators such as definitions, classification and validation. The terms are first listed in alphabetical order and then according to related thematic areas.

Xlvi Mexican Conference On Biomedical Engineering

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Author : José de Jesús Agustín Flores Cuautle
language : en
Publisher: Springer Nature
Release Date : 2023-10-25

Xlvi Mexican Conference On Biomedical Engineering written by José de Jesús Agustín Flores Cuautle and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-25 with Technology & Engineering categories.

This book reports on cutting-edge research and best practices in the broad fiel of biomedical engineering. Based on the XLVI Mexican Congress on Biomedical Engineering, CNIB 2023, held on November 2-4, 2023 in Villahermosa Tabasco, Mexico, this first volume of the proceedings covers research topics in biomedical signals and image processing, artificial intelligence, biosensors, and wearable systems, with applications ranging from disease classification and diagnosis, to health monitoring and medical therapy. All in all, this book provides a timely snapshot on state-of-the-art achievements in biomedical engineering and current challenges in the field. It addresses both researchers and professionals, and it is expect to foster future collaborations between the two groups, as well as international collaborations. .

Data Science And Network Engineering

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Author : Suyel Namasudra
language : en
Publisher: Springer Nature
Release Date : 2025-01-29

Data Science And Network Engineering written by Suyel Namasudra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-29 with Technology & Engineering categories.

This book includes research papers presented at the International Conference on Data Science and Network Engineering (ICDSNE 2024) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India, during July 12–13, 2024. It includes research works from researchers, academicians, business executives, and industry professionals for solving real-life problems by using the advancements and applications of data science and network engineering. This book covers many advanced topics, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), computer networks, blockchain, security and privacy, Internet of things (IoT), cloud computing, big data, supply chain management, and many more. Different sections of this book are highly beneficial for the researchers, who are working in the field of data science and network engineering.

Computational Intelligence In Healthcare

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Author : Meenu Gupta
language : en
Publisher: CRC Press
Release Date : 2023-02-10

Computational Intelligence In Healthcare written by Meenu Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-10 with Computers categories.

Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. Artificial intelligent systems offer great improvement in healthcare systems by providing more intelligent and convenient solutions and services assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing. Modern health treatments are faced with the challenge of acquiring, analysing, and applying the large amount of knowledge necessary to solve complex problems. AI techniques are being effectively used in the field of healthcare systems by extracting the useful information from the vast amounts of data by applying human expertise and CI methods, such as fuzzy models, artificial neural networks, evolutionary algorithms, and probabilistic methods which have recently emerged as promising tools for the development and application of intelligent systems in healthcare practice. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with them. Contained in the book are state-of-the-art CI methods and other allied techniques used in healthcare systems as well as advances in different CI methods that confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide the latest research related to the healthcare sector to researchers and engineers with a platform encompassing state-of-the-art innovations, research and design, and the implementation of methodologies.

Handbook Of Research On Informatics In Healthcare And Biomedicine

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Author : Lazakidou, Athina A.
language : en
Publisher: IGI Global
Release Date : 2006-06-30

Handbook Of Research On Informatics In Healthcare And Biomedicine written by Lazakidou, Athina A. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-06-30 with Reference categories.

Describes and analyzes recent breakthroughs in healthcare and biomedicine providing comprehensive coverage and definitions of important issues, concepts, new trends and advanced technologies.

Deep Learning In Genetics And Genomics

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Author : Khalid Raza
language : en
Publisher: Elsevier
Release Date : 2024-11-28

Deep Learning In Genetics And Genomics written by Khalid Raza and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-28 with Science categories.

Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications, the intersection of deep learning and genetics opens up new avenues for advancing our understanding of the genetic code, gene regulation, and the broader genomics landscape. The book not only covers the most up-to-date advancements in the field of deep learning in genetics and genomics, but also a wide spectrum of (sub) topics including medical and clinical genetics, predictive medicine, transcriptomic, and gene expression studies. In 21 chapters Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications describes how AI and DL have become increasingly useful in genetics and genomics research where both play a crucial role by accelerating research, improving the understanding of the human genome, and enabling personalized healthcare. From the fundamentals concepts and practical applications of deep learning algorithms to a wide range of challenging problems from genetics and genomics, Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications creates a better knowledge of the biological and genetics mechanisms behind disease illnesses and improves the forecasting abilities using the different methodologies described. This title offers a unique resource for wider, deeper, and in-depth coverage of recent advancement in deep learning-based approaches in genetics and genomics, helping researchers process and interpret vast amounts of genetic data, identify patterns, and make discoveries that would be challenging or impossible using traditional methods. - Brings together fundamental concepts of genetics, genomics, and deep learning - Includes how to build background of solution methodologies and design of mathematical and logical algorithms - Delves into the intersection of deep learning and genetics, offering a comprehensive exploration of how deep learning techniques can be applied to various aspects of genomics