Intelligent technologies and Parkinson's disease: prediction and diagnosis
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....
Gespeichert in:
| Weitere Verfasser: | , , , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey PA, USA
IGI Global
[2024]
|
| Schriftenreihe: | Advances in medical technologies and clinical practice (AMTCP) book series
|
| Schlagworte: | |
| Online-Zugang: | DE-91 DE-898 DE-1050 Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 Online-Ressource (xxii, 390 Seiten) Illustrationen |
| ISBN: | 9798369311165 |
| DOI: | 10.4018/979-8-3693-1115-8 |
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| 520 | |a 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. | ||
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| illustrated | Illustrated |
| index_date | 2024-07-03T23:32:49Z |
| indexdate | 2024-12-17T19:01:34Z |
| institution | BVB |
| isbn | 9798369311165 |
| language | English |
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| spelling | Intelligent technologies and Parkinson's disease prediction and diagnosis Abhishek Kumar, Sachin Ahuja, Anupam Baliyan, Sreenatha Anavatti, Abhineet Anand Hershey PA, USA IGI Global [2024] © 2024 1 Online-Ressource (xxii, 390 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Advances in medical technologies and clinical practice (AMTCP) book series 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. Artificial intelligence Parkinson's disease Kumar, Abhishek 1989- (DE-588)1272160912 edt Ahuja, Sachin 1979- edt Baliyan, Anupam 1976- (DE-588)1301031445 edt Anavatti, Sreenatha Gopalarao (DE-588)1155434811 edt Anand, Abhineet 1975- edt Erscheint auch als Druck-Ausgabe 979-8-3693-1115-8 https://doi.org/10.4018/979-8-3693-1115-8 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Intelligent technologies and Parkinson's disease prediction and diagnosis Artificial intelligence Parkinson's disease |
| title | Intelligent technologies and Parkinson's disease prediction and diagnosis |
| title_auth | Intelligent technologies and Parkinson's disease prediction and diagnosis |
| title_exact_search | Intelligent technologies and Parkinson's disease prediction and diagnosis |
| title_exact_search_txtP | Intelligent technologies and Parkinson's disease prediction and diagnosis |
| title_full | Intelligent technologies and Parkinson's disease prediction and diagnosis Abhishek Kumar, Sachin Ahuja, Anupam Baliyan, Sreenatha Anavatti, Abhineet Anand |
| title_fullStr | Intelligent technologies and Parkinson's disease prediction and diagnosis Abhishek Kumar, Sachin Ahuja, Anupam Baliyan, Sreenatha Anavatti, Abhineet Anand |
| title_full_unstemmed | Intelligent technologies and Parkinson's disease prediction and diagnosis Abhishek Kumar, Sachin Ahuja, Anupam Baliyan, Sreenatha Anavatti, Abhineet Anand |
| title_short | Intelligent technologies and Parkinson's disease |
| title_sort | intelligent technologies and parkinson s disease prediction and diagnosis |
| title_sub | prediction and diagnosis |
| topic | Artificial intelligence Parkinson's disease |
| topic_facet | Artificial intelligence Parkinson's disease |
| url | https://doi.org/10.4018/979-8-3693-1115-8 |
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