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.
Brief description: Dr. Abhishek Kumar is currently working as an Assistant Director and Professor in Computer Science & Engineering Department at Chandigarh University, Mohali, Punjab, India and Senior Researcher in Ingeniot Lab, UCLM Spain from August 2025. Dr. Kumar has completed Post-Doctoral Fellowship from Ingenium Research Group Lab, Universidad De Castilla-La Mancha, Ciudad Real, and Ciudad Real Spain. He has completed his Doctor of Philosophy in Computer Science from University of Madras and Master of Technology in CSE and Bachelor of Technology in IT from, Rajasthan Technical University, Kota India. With his total teaching experience of more than 15 years, Dr. Kumar is committed towards academic excellence. Adding to his profile, Dr. Kumar is having more than 230+ publications in reputed, peer reviewed National and International Journals, Books & Conferences. He has guided more than 45 M.Tech. Projects at National and International level and has supervised 7 PhD Scholars. Dr. Kumar's research area includes- Artificial Intelligence, Machine Learning Renewable Energy, Image Processing, Computer Vision, Data Mining, Computational Healthcare, and Bioinformatics. He has been Session Chair and Keynote Speaker of many International Conferences, Webinars in India and Abroad. He has been the Reviewer for IEEE and Inderscience Journal. He has Authored/Co-Authored 8 books published internationally and has edited over 111 books (Published & Ongoing with IET, Elsevier, Wiley, IGI GLOBAL Springer, Apple Academic Press, De-Gruyter and CRC etc).