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Handbook of Decision Support Systems for Neurological Disorders

Handbook of Decision Support Systems for Neurological Disorders
Author: Hemanth D. Jude
Publisher: Academic Press
Total Pages: 320
Release: 2021-03-30
Genre: Science
ISBN: 0128222727

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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


Fundamentals of Clinical Data Science

Fundamentals of Clinical Data Science
Author: Pieter Kubben
Publisher: Springer
Total Pages: 219
Release: 2018-12-21
Genre: Medical
ISBN: 3319997130

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This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.


Data Analysis for Neurodegenerative Disorders

Data Analysis for Neurodegenerative Disorders
Author: Deepika Koundal
Publisher: Springer Nature
Total Pages: 267
Release: 2023-05-31
Genre: Medical
ISBN: 9819921546

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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.


Emotional AI and Human-AI Interactions in Social Networking

Emotional AI and Human-AI Interactions in Social Networking
Author: Muskan Garg
Publisher: Elsevier
Total Pages: 322
Release: 2023-08-20
Genre: Medical
ISBN: 0443190976

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Emotional AI and Human-AI Interactions in Social Networking makes readers aware of recent progress in this integrated discipline. Filling the existing vacuum in research in artificial intelligence with the application of social science, this book provides in-depth knowledge of human-AI interactions with social networking and increased use of the internet. Chapters integrating Emotional Artificial Intelligence, examining behavioral interventions, compassion, education, and healthcare, as well as social cognitive networking, including social brain networks, play a pivotal role in enhancing interdisciplinary studies in the field of social neuroscience and Emotional AI. This volume is a must for those wanting to dive into this exciting field of social neuroscience AI. Serves as a guide on social cognitive neuroscience for mental health and emotional AI for behavioral interventions Details various technologies of human-AI interactions with social networking Includes sections on emotional AI in behavioral interventions, compassion, education and healthcare


Progress in Artificial Intelligence and Pattern Recognition

Progress in Artificial Intelligence and Pattern Recognition
Author: Yanio Hernández Heredia
Publisher: Springer Nature
Total Pages: 490
Release: 2024-01-20
Genre: Computers
ISBN: 3031495527

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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

Handbook on Augmenting Telehealth Services
Author: Sonali Vyas
Publisher: CRC Press
Total Pages: 301
Release: 2024-01-26
Genre: Technology & Engineering
ISBN: 1003825648

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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.


Decision-Making in Adult Neurology , E-Book

Decision-Making in Adult Neurology , E-Book
Author: Brett Cucchiara
Publisher: Elsevier Health Sciences
Total Pages: 483
Release: 2020-09-16
Genre: Medical
ISBN: 0323733689

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Written by neurologists for neurologists, Decision-Making in Adult Neurology provides practical guidance when encountering patients whose clinical presentation is unfamiliar or complex, or whose treatment path is not completely certain. This useful handbook is filled with diagnostic and treatment algorithms that encourage you to think systematically and follow a logical sequence through the steps necessary for efficient and effective decision-making. Outlines the key decision points in patient management, providing a wealth of systematic information that ensures you take into account the proper physical signs and test results that will guide your recommendations. Contains 119 algorithms covering symptoms and signs, specific neurologic conditions, vascular disorders, seizures, head trauma, neoplastic disease, peripheral nervous disorders, and muscle disease. Accompanies each algorithm with brief text that explains the significance of important decision points. Provides step-by-step decision-making guidelines for testing and management of paraneoplastic diseases, choice of initial MS therapy, evaluation of incidentally discovered MRI white matter lesions, management of asymptomatic carotid stenosis, and much more.


XLVI Mexican Conference on Biomedical Engineering

XLVI Mexican Conference on Biomedical Engineering
Author: José de Jesús Agustín Flores Cuautle
Publisher: Springer Nature
Total Pages: 426
Release: 2023-10-25
Genre: Technology & Engineering
ISBN: 303146933X

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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. .


Caring for Children Who Have Severe Neurological Impairment

Caring for Children Who Have Severe Neurological Impairment
Author: Julie M. Hauer
Publisher: JHU Press
Total Pages: 480
Release: 2013-08-01
Genre: Health & Fitness
ISBN: 1421409380

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Hauer offers hope and practical coping strategies in equal measure.


Handbook on Decision Making

Handbook on Decision Making
Author: Julian Andres Zapata-Cortes
Publisher: Springer Nature
Total Pages: 466
Release: 2022-09-26
Genre: Technology & Engineering
ISBN: 303108246X

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This book presents different techniques and methodologies used to improve the intelligent decision-making process and increase the likelihood of success in companies of different sectors such as Financial Services, Education, Supply Chain, Energy Systems, Health Services, and others. The book contains and consolidates innovative and high-quality research contributions regarding the implementation of techniques and methodologies applied in different sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields such as: Logistics, Software Development, Big Data, Internet of Things, Simulation, among others. The book contents are useful for Ph.D. researchers, Ph.D. students, master and undergraduate students of different areas such as Industrial Engineering, Computer Science, Information Systems, Data Analytics, and others.