Intelligent Technologies and Parkinson’s Disease: Prediction and Diagnosis

Intelligent Technologies and Parkinson’s Disease: Prediction and Diagnosis

Release Date: February, 2024|Copyright: © 2024 |Pages: 390
DOI: 10.4018/979-8-3693-1115-8
ISBN13: 9798369311158|EISBN13: 9798369311165
Hardcover:
Available
$355.00
TOTAL SAVINGS: $355.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
Hardcover:
Available
$355.00
TOTAL SAVINGS: $355.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
E-Book:
Available
$355.00
TOTAL SAVINGS: $355.00
Benefits
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • PDF download
E-Book:
Available
$355.00
TOTAL SAVINGS: $355.00
Benefits
  • Immediate access after purchase
  • No DRM
  • PDF download
  • Receive a 10% Discount on eBooks
Hardcover +
E-Book:
Available
$425.00
TOTAL SAVINGS: $425.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • PDF download
Hardcover +
E-Book:
Available
$425.00
TOTAL SAVINGS: $425.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Immediate access after purchase
  • No DRM
  • PDF download
Article Processing Charge:
Available
$1,950.00
TOTAL SAVINGS: $1,950.00
OnDemand:
(Individual Chapters)
Available
$37.50
TOTAL SAVINGS: $37.50
Benefits
  • Purchase individual chapters from this book
  • Immediate PDF download after purchase or access through your personal library
Effective immediately, IGI Global has discontinued softcover book production. The softcover option is no longer available for direct purchase.
Description & Coverage
Description:

When it comes to Parkinson's disease, one of the most important issues revolves around early detection and accurate diagnosis. The intricacies of this neurodegenerative disorder often elude timely identification, leaving patients and healthcare providers grappling with its progressive symptoms. Ethical concerns surrounding the use of machine learning to aid in diagnosis further complicate this challenge. This issue is particularly significant for research scholars, PhD fellows, post-doc fellows, and medical and biomedical scholars seeking to unravel the mysteries of Parkinson's disease and develop more effective treatments.

Intelligent Technologies and Parkinson’s Disease: Prediction and Diagnosis serves as a beacon of hope in the quest to revolutionize Parkinson's disease diagnosis and treatment. It unveils the remarkable potential of artificial intelligence (AI) and machine learning (ML) in remodeling the way we approach this debilitating condition. With a comprehensive exploration of AI's capacity to analyze speech patterns, brain imaging data, and gait patterns, this book offers a powerful solution to the challenges of early detection and accurate diagnosis.

Whether you're a seasoned academic scholar or a passionate researcher, this book is your key to unlocking the future of Parkinson's disease management. It not only sheds light on the ethical considerations of using machine learning but also highlights the benefits, challenges, and real-world impact on patient care, diagnostic accuracy, and cost-effectiveness. With a diverse range of recommended topics, from handwriting kinematics to voice recordings and deep learning-CNN applications, this book equips you with the knowledge and tools you need to make a difference in the fight against Parkinson's disease.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Accurate Diagnosis
  • Biomedical Scholars
  • Brain Imaging Data
  • Cost-Effectiveness
  • Deep Learning-CNN Applications
  • Digital Ethics Concerns
  • Early Detection of Diseases
  • Gait Patterns Analysis
  • Intelligent Technologies
  • Machine Learning
  • Neurodegenerative Disorder
  • Parkinson's Disease
  • Progressive Symptoms
  • Speech Patterns Analysis
Table of Contents
Search this Book:
Reset
Editor/Author Biographies
Abhishek Kumar is currently working as an Assistant director in Computer science & Engineering Department in Chandigarh University, Punjab, India. is doing Post-Doctoral Fellow in Ingenium Research Group Ingenium Research Group Lab, Universidad De Castilla-La Mancha, Ciudad Real, and Ciudad Real Spain. He has total Academic teaching experience of more than 12 years along with 2 years teaching assistantship. He is having more than 160 publications in reputed, peer reviewed National and International Journals, books & Conferences He has authored/Co-Authored 7 books published internationally and edited 39 books (Published & ongoing with IET, Elsevier, Wiley, IGI GLOBAL Springer, Apple Academic Press, De-Gruyter and CRC etc. He is Patent holder and got Sir CV Raman National award for 2018 in young researcher and faculty Category from IJRP Group. He is acting as Series Editor for three books series, Quantum Computing with Degruyter Germany, Intelligent Energy System with Elsevier, & Mathematical Methods in the Digital Age: Computational Intelligence & Advancements.
Sachin Ahuja is presently serving Chandigarh University as Executive Director of Engineering. With over 2 decades of academic and research experience to his position he has held major positions at significant higher education institutions and has proven a strong dedication to knowledge advancement. Dr. Ahuja is an experienced mentor who has advised several ME and PhD students in cutting-edge subjects such as Artificial Intelligence, Machine Learning, and Data Mining. His scientific impact extends beyond mentorship, with contributions to edited books and articles published in peer-reviewed journals and over 150+ patents in latest technological interventions. Dr. Ahuja's participation in supported projects demonstrates his commitment to impactful research. His broad skills demonstrates an innovative leadership approach, promoting innovation and excellence in the ever-changing engineering and technology sector.
Anupam Baliyan is working as Dean Engineering in Geeta University India .He has more than 24 Years of Experience in Academic. He is MCA from Gurukul kangari University, MTech(CSE) and Ph.D.(CSE) from Banasthali University. He published more than 80 Research papers in various International Journal indexed at Scopus and SCI. He is Life time member of CSI and ISTE. He has been chaired many sessions in International Conferences across the INDIA. He also published 3 Authored and 10 Edited books with repute Publishers. He is also the Asst. Editor of some Journals those are Scopus indexed. His Research Area is Algorithms, Machine learning, Wireless networks and AI.
Sreenatha Anavatti finished his Ph.D. from Indian Institute of Science and worked as Assistant and Associate Professor at IIT, Bombay (Mumbai) before moving to Australia. He has worked on a number of projects of National importance during his stay at IIT for ISRO, ADA and DRDL towards the satellite, aircraft and missile program. His main research interests include dynamics and control of autonomous systems. In addition, he also works on Deep Learning and AI applications for the autonomous vehicles, Image processing, Time-series predictions and Feature Extractions. He has supervised more than 25 Ph.D. scholars. He has published more than 300 peer reviewed papers with a h-index of 38, including the top ones like IEEE transactions.
With Abhineet Anand's 23+ years of academic and administrative experience, his research includes the following field of endeavour: Cloud Computing, Cloud Security, Decision Tree, nearest neighbour method, Clustering, Rule induction, Optical Fibre Switching in Wavelength Multiplexing, Automata Theory. He has published more than 14 SCI, 53+ Scopus indexed papers, 20+ papers in International conference, 12 Intentional Journal, 3 National Journal, and 3 National Conference with 6 Book with prestigious publishers.
Archiving
All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci® platform.