State identification of Parkinson’s disease based on transfer learning

This algorithm has high accuracy and can distinguish the disease states of PD patients without manual feature extraction, effectively assisting the working of doctors.

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Publication Details

Journal
Technology and Health Care
Published
2024-11-08
DOI
https://doi.org/10.3233/thc-231929
Citations
1
Primary Topic
Neurological disorders and treatments
Type
article
Field-Weighted Citation Impact
0.37

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article

State identification of Parkinson’s disease based on transfer learning

Lu Qin, Wei Li, Dechun Zhao, Mingcai Yao et al.
1 citations
Technology and Health Care
Neurological disorders and treatments
0.37
article

State identification of Parkinson’s disease based on transfer learning

Lu Qin, Wei Li, Dechun Zhao, Mingcai Yao, Zixin Luo, Ziqiong Wang
article en
1 citations

Abstract

This algorithm has high accuracy and can distinguish the disease states of PD patients without manual feature extraction, effectively assisting the working of doctors.

Technology and Health CareVol. 32(6)
Chongqing University of Posts and Telecommunications (CN)
University of Oxford
Openalex Percentile: Top 34%
Neurological disorders and treatments
0.37
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