Advances in machine learning for the diagnosis of Pakinsons disease(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2024年第5期
- Page:
- 640-645
- Research Field:
- 医学人工智能
- Publishing date:
Info
- Title:
- Advances in machine learning for the diagnosis of Pakinsons disease
- Author(s):
- SHI Cheng1; 2; YAO Xufeng2
- 1. School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China 2. School of Medical Imaging, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China
- Keywords:
- Parkinsons disease machine learning intelligent diagnosis review
- PACS:
- R318；R742.5
- DOI:
- DOI:10.3969/j.issn.1005-202X.2024.05.016
- Abstract:
- Parkinsons disease (PD) is the second most common neurodegenerative disease after Alzheimers disease, and the early diagnosis and intervention are crucial for patients. The review focuses on machine learning for intelligent diagnosis of PD. The common machine learning algorithms in PD diagnosis, specifically convolutional neural networks and long short-term memory networks, are introduced, and their applications in medical image analysis and motor behavior analysis are discussed in details. By comparing relevant domestic and international researches, the advantages and disadvantages of using different imaging and kinematic data for PD diagnosis are analyzed. Finally, the review summarizes and presents a prospect for the application of machine learning in PD diagnosis.
Last Update: 2024-05-24