Download the fantastic book titled Intelligent Technologies and Parkinson s Disease Prediction and Diagnosis written by Kumar, Abhishek, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Intelligent Technologies and Parkinson s Disease Prediction and Diagnosis", which was released on 08 February 2024. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Medical genre.
Summary of Intelligent Technologies and Parkinson s Disease Prediction and Diagnosis by Kumar, Abhishek PDF
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.
Detail About Intelligent Technologies and Parkinson s Disease Prediction and Diagnosis PDF
- Author : Kumar, Abhishek
- Publisher : IGI Global
- Genre : Medical
- Total Pages : 412 pages
- ISBN :
- Release Date : 08 February 2024
- PDF File Size : 54,9 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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