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Intelligent solutions for cognitive disorders

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent solutions for cognitive disorders/ Dipti Jadhav, Pallavi Vijay Chavan, Sangita Chaudhari, Idongesit Williams, editors.
other author:	Chaudhari, Sangita.
Published:	Hershey, Pennsylvania :IGI Global, : 2024.,
Description:	1 online resource (411 p.)
[NT 15003449]:	Chapter 1. A systematic review with recommendations on intelligent systems in cognitive healthcare -- Chapter 2. Collaborative care models for cognitive disorder patients -- Chapter 3. Lifestyle factors and cognitive health -- Chapter 4. Intelligent assistive technology for children with cognitive impairment -- Chapter 5. Identification of autism spectrum disorder using machine learning and deep learning techniques -- Chapter 6. Integrative approaches for understanding and characterizing ADHD: insights from multimodal data, virtual reality, longitudinal studies, and deep phenotyping. -- Chapter 7. Prediction of attention-deficit and hyperactivity disorder in online learning -- Chapter 8. Clinics to algorithms using science and technology: exploring intelligent solutions for timely identification of anxiety and mood disorders -- Chapter 9. Hydrophobia: an intense fear of water -- Chapter 10. Investigating natural language processing strategies for cognitive support in chemo-brain patients -- Chapter 11. Neurogenerative disorder identification from speech and hand drawn inputs using machine learning techniques -- Chapter 12. Design and implementation for EEG artifact detection and removal technique for neuro training application: cognitive signal conditioning -- Chapter 13. Shifting paradigm in early detection and prediction of Alzheimer's disease -- Chapter 14. Unveiling alzheimer's: early detection through deep neural networks -- Chapter 15. Early onset detection of Alzheimer's disease based on intelligent techniques -- Chapter 16. Breakthroughs of AI for early detection and prediction of Alzheimer's disease.
Subject:	Cognition disorders - Diagnosis. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1090-8
ISBN:	9798369310915

Intelligent solutions for cognitive disorders
Intelligent solutions for cognitive disorders[electronic resource] /Dipti Jadhav, Pallavi Vijay Chavan, Sangita Chaudhari, Idongesit Williams, editors. - Hershey, Pennsylvania :IGI Global,2024. - 1 online resource (411 p.)

Includes bibliographical references and index.

Chapter 1. A systematic review with recommendations on intelligent systems in cognitive healthcare -- Chapter 2. Collaborative care models for cognitive disorder patients -- Chapter 3. Lifestyle factors and cognitive health -- Chapter 4. Intelligent assistive technology for children with cognitive impairment -- Chapter 5. Identification of autism spectrum disorder using machine learning and deep learning techniques -- Chapter 6. Integrative approaches for understanding and characterizing ADHD: insights from multimodal data, virtual reality, longitudinal studies, and deep phenotyping. -- Chapter 7. Prediction of attention-deficit and hyperactivity disorder in online learning -- Chapter 8. Clinics to algorithms using science and technology: exploring intelligent solutions for timely identification of anxiety and mood disorders -- Chapter 9. Hydrophobia: an intense fear of water -- Chapter 10. Investigating natural language processing strategies for cognitive support in chemo-brain patients -- Chapter 11. Neurogenerative disorder identification from speech and hand drawn inputs using machine learning techniques -- Chapter 12. Design and implementation for EEG artifact detection and removal technique for neuro training application: cognitive signal conditioning -- Chapter 13. Shifting paradigm in early detection and prediction of Alzheimer's disease -- Chapter 14. Unveiling alzheimer's: early detection through deep neural networks -- Chapter 15. Early onset detection of Alzheimer's disease based on intelligent techniques -- Chapter 16. Breakthroughs of AI for early detection and prediction of Alzheimer's disease.

"Cognitive disorders are a growing concern, affecting individuals across the age spectrum and society. These disorders can profoundly disrupt daily life, and their timely diagnosis is crucial for effective intervention and care. As the prevalence of cognitive disorders continues to rise, the need for precise and early diagnosis has never been more pressing. Intelligent Solutions for Cognitive Disorders is a research-based book which delves into the intersection of medical science and technology, exploring the latest advancements in cognitive disorder diagnosis and treatment.This book assembles a multidisciplinary team of experts, including researchers, clinicians, and technologists, to address this challenge head-on. This book commences with an in-depth introduction to cognitive disorders, providing a solid foundation for readers of all backgrounds. It then navigates the role of intelligent systems in cognitive healthcare, unveiling the potential of artificial intelligence, machine learning, and deep learning techniques. The book highlights how these intelligent systems can enable the early and accurate detection of cognitive disorders, a pivotal factor in improving patients' quality of life. This book is an invaluable resource for technologists, researchers, linguists, data scientists, healthcare practitioners, medical professionals, and students seeking a comprehensive understanding of cognitive disorders and the role of intelligent technologies in their diagnosis and care."--

ISBN: 9798369310915Subjects--Topical Terms:

655221
Cognition disorders
--Diagnosis.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: RC348 / .I58 2024e

Dewey Class. No.: 616.8/0475

National Library of Medicine Call No.: WM 204 / .I58 2024e

Intelligent solutions for cognitive disorders
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245 0 0 $a Intelligent solutions for cognitive disorders $h [electronic resource] / $c Dipti Jadhav, Pallavi Vijay Chavan, Sangita Chaudhari, Idongesit Williams, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2024.
300 $a 1 online resource (411 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. A systematic review with recommendations on intelligent systems in cognitive healthcare -- Chapter 2. Collaborative care models for cognitive disorder patients -- Chapter 3. Lifestyle factors and cognitive health -- Chapter 4. Intelligent assistive technology for children with cognitive impairment -- Chapter 5. Identification of autism spectrum disorder using machine learning and deep learning techniques -- Chapter 6. Integrative approaches for understanding and characterizing ADHD: insights from multimodal data, virtual reality, longitudinal studies, and deep phenotyping. -- Chapter 7. Prediction of attention-deficit and hyperactivity disorder in online learning -- Chapter 8. Clinics to algorithms using science and technology: exploring intelligent solutions for timely identification of anxiety and mood disorders -- Chapter 9. Hydrophobia: an intense fear of water -- Chapter 10. Investigating natural language processing strategies for cognitive support in chemo-brain patients -- Chapter 11. Neurogenerative disorder identification from speech and hand drawn inputs using machine learning techniques -- Chapter 12. Design and implementation for EEG artifact detection and removal technique for neuro training application: cognitive signal conditioning -- Chapter 13. Shifting paradigm in early detection and prediction of Alzheimer's disease -- Chapter 14. Unveiling alzheimer's: early detection through deep neural networks -- Chapter 15. Early onset detection of Alzheimer's disease based on intelligent techniques -- Chapter 16. Breakthroughs of AI for early detection and prediction of Alzheimer's disease.
520 3 $a "Cognitive disorders are a growing concern, affecting individuals across the age spectrum and society. These disorders can profoundly disrupt daily life, and their timely diagnosis is crucial for effective intervention and care. As the prevalence of cognitive disorders continues to rise, the need for precise and early diagnosis has never been more pressing. Intelligent Solutions for Cognitive Disorders is a research-based book which delves into the intersection of medical science and technology, exploring the latest advancements in cognitive disorder diagnosis and treatment.This book assembles a multidisciplinary team of experts, including researchers, clinicians, and technologists, to address this challenge head-on. This book commences with an in-depth introduction to cognitive disorders, providing a solid foundation for readers of all backgrounds. It then navigates the role of intelligent systems in cognitive healthcare, unveiling the potential of artificial intelligence, machine learning, and deep learning techniques. The book highlights how these intelligent systems can enable the early and accurate detection of cognitive disorders, a pivotal factor in improving patients' quality of life. This book is an invaluable resource for technologists, researchers, linguists, data scientists, healthcare practitioners, medical professionals, and students seeking a comprehensive understanding of cognitive disorders and the role of intelligent technologies in their diagnosis and care."-- $c Provided by publisher.
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