Artificial Intelligence for Neurological Disorders

Artificial Intelligence for Neurological Disorders

1st Edition - September 1, 2022

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  • Editors: Ajith Abraham, Sujata Dash, Subhendu Kumar Pani, Laura García-Hernández
  • Paperback ISBN: 9780323902779

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Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and machine learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level, as well as other applications such as image segmentation, classification and image indexing, neural networks and image processing methods. Chapters include AI techniques for the early detection of neurological disease and deep learning applications using brain imaging methods like EEG, MEG, fMRI, fNIRS and PET for seizure prediction or neuromuscular rehabilitation. The goal of this book is to provide readers with broad coverage of these methods to encourage an even wider adoption of AI, Machine Learning and Big Data Analytics for problem-solving and stimulating neurological research and therapy advances.

Key Features

  • Discusses various AI and ML methods to apply for neurological research
  • Explores Deep Learning techniques for brain MRI images
  • Covers AI techniques for the early detection of neurological diseases and seizure prediction
  • Examines cognitive therapies using AI and Deep Learning methods


Researchers and clinicians in neuroscience, computational neuroscience, bioinformatics, and computer science. Advanced graduate students

Table of Contents

  • 1. Early detection of neurological diseases using Machine Learning and Deep Learning Techniques : A Review
    2. A Predictive method for Emotional Sentiment Analysis by Deep Learning from EEG of Brainwave Data
    3. Machine Learning and Deep Learning Models for Early-stage Detection of Alzheimer Disease and its Proliferation in Human Brain
    4. Recurrent Neural Network Model for Identifying Neurological Auditory Disorder
    5. Recurrent Neural Network Model for Identifying Epilepsy Based Neurological Auditory Disorder
    6. Dementia Diagnosis with EEG using Machine Learning
    7. Computational Methods for Translational Brain-Behavior Analysis
    8. Clinical applications of deep learning in neurology and its enhancements with future directions
    9. Ensemble sparse intelligent mining techniques for cognitive disease
    10. Cognitive therapy for brain diseases using deep learning models
    11. Cognitive therapy for brain diseases using artificial intelligence models
    12. Clinical applications of deep learning in neurology and its enhancements with future predictions
    13. An Intelligent Diagnostic approach for Epileptic Seizure Detection and Classification Using Machine Learning
    14. Neural signaling and communication using Machine learning
    15. Classification of neurodegenerative disorders using machine learning techniques
    16. New trends in deep learning for neuroimaging analysis and disease prediction
    17. Prevention and diagnosis of neurodegenerative diseases using machine learning models
    18. Artificial Intelligence-Based Early Detection of neurological Disease Using Non-Invasive Method Based on Speech Analysis
    19. An Insight into Applications of Deep learning to neuroimaging
    20. Incremental variance learning based ensemble classification model for neurological disorders
    21. Early Detection of Parkinson Disease using adaptive machine learning techniques: A Review

Product details

  • No. of pages: 500
  • Language: English
  • Copyright: © Academic Press 2022
  • Published: September 1, 2022
  • Imprint: Academic Press
  • Paperback ISBN: 9780323902779

About the Editors

Ajith Abraham

Dr. Abraham is the Director of Machine Intelligence Research Labs (MIR Labs), a Not-for-Profit Scientific Network for Innovation and Research Excellence connecting Industry and Academia. The Network with HQ in Seattle, USA has currently more than 1,500 scientific members from over 105 countries. As an Investigator / Co-Investigator, he has won research grants worth over 100+ Million US$. Currently he works as a Professor of Artificial Intelligence in Innopolis University, Russia and is a Chairholder of the Yayasan Tun Ismail Mohamed Ali Professorial Chair in Artificial Intelligence of UCSI, Malaysia. Dr. Abraham works in a multi-disciplinary environment and he has authored / coauthored more than 1,400+ research publications out of which there are 100+ books covering various aspects of Computer Science. One of his books was translated to Japanese and few other articles were translated to Russian and Chinese. Dr. Abraham has more than 45,500+ academic citations (h-index of 100 as per google scholar). He has given more than 150 plenary lectures and conference tutorials (in 20+ countries). Since 2008, Dr. Abraham was the Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing (which has over 200+ members) during 2008-2021 and served as a Distinguished Lecturer of IEEE Computer Society representing Europe (2011-2013). Dr. Abraham was the editor-in-chief of Engineering Applications of Artificial Intelligence (EAAI) during 2016-2021 and is currently serving / served the editorial board of over 15 International Journals indexed by Thomson ISI. Dr. Abraham received Ph.D. degree in Computer Science from Monash University, Melbourne, Australia (2001) and a Master of Science Degree from Nanyang Technological University, Singapore (1998).

Affiliations and Expertise

Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, Auburn, WA, United States

Sujata Dash

Sujata Dash is Professor of Computer Science at North Orissa University in the Department of Computer Science, Baripada, India. She is a recipient of Titular Fellowship from Association of Commonwealth Universities, UK and was a visiting professor of Computer Science Department of University of Manitoba, Canada. She has published more than 160 technical papers as well as textbooks, monographs and edited books. She is a member of international professional associations and is a reviewer and editorial board member for multiple international journals. Her current research interest includes Machine Learning, Data Mining, Big Data Analytics, Bioinformatics, Fuzzy sets and systems, Rough sets, Soft Computing and Intelligent Agents.

Affiliations and Expertise

Professor of Computer Science, Department of Computer Application, Maharaja Sriram Chandra Bhanj University (restwhile North Orissa University), Baripada, Mayurbhanj, Odisha, India

Subhendu Kumar Pani

Subhendu Kumar Pani received his Ph.D. from Utkal University Odisha, India. He has more than 16 years of teaching and research experience His research interests include data mining, big data analysis, web data analytics, fuzzy decision making and computational intelligence. He is a fellow in SSARSC and life member in IE, ISTE, ISCA, OBA.OMS, SMIACSIT, SMUACEE, CSI.

Affiliations and Expertise

Krupajal Engineering College, Prashanti Vihar, Near CIFA, Kausalya Ganga, Bhubaneswar, Khordha, Odisha, India

Laura García-Hernández

LAURA GARCÍA-HERNÁNDEZ received the M.Sc. degree in computer science from the Universitat Oberta de Catalunya, Spain, in 2007, and the European Ph.D. degree in Engineering from the University of Córdoba, Spain, and also from the Institut Français de Mécanique Avancée, Clermont-Ferrand, France, in 2011. She has been an Invited Professor during a semester in the Institut Français de Mécanique Avancée, Clermont-Ferrand. She is currently an Associate Professor in the Area of Project Engineering at the University of Córdoba, Spain. Her primary areas of research are engineering design optimization, intelligent systems, machine learning, user adaptive systems, interactive evolutionary computation, project management, risk prevention in automatic systems, and educational technology. In these fields, she has authored or co-authored more than 70 international research publications. She has given several invited talks in different countries. She has realized several postdoctoral internships in different countries with a total duration of more than two years. She received the prestigious National Government Research Grant ‘‘José Castillejo’’ for supporting their post-doc research during six months in the University of Algarve, Portugal. She has been an Investigator Principal in two Spanish research projects and has also been an Investigator Collaborator in some research contracts and projects. She is an Expert Member of ISO/TC 184/SC working team and the National Standards Institute of Spain (UNE). Moreover, she is a member of the Spanish Association of Engineering Projects (IPMA Spain). Considering her research, she received the Young Researcher Award granted by the Spanish Association of Engineering Projects (IPMA), Spain, in 2015. Additionally, she received two times the General Council of Official Colleges Award at prestigious International Conference on Project Management and Engineering both 2017 and 2018 editions. She is the Co-Editor-in-Chief of the Journal of Information Assurance and Security. Also, she is an Associate Editor in the following ISI Journals: Applied Soft Computing, Complex & Intelligent Systems, and Journal of Intelligent Manufacturing.

Affiliations and Expertise

Associate Professor of Project Engineering, University of Córdoba, Córdoba, Spain

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