A Systematic Review of Artificial Intelligence (AI) Based Approaches for the Diagnosis of Parkinson’s Disease
Author:
Funder
SPARC Fund
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11831-022-09710-1.pdf
Reference107 articles.
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3. Mischley LK, Lau RC, Weiss NS (2017) Use of a self-rating scale of the nature and severity of symptoms in Parkinson’s disease (PRO-PD): correlation with quality of life and existing scales of disease severity. npj Park Dis 3:1–6. https://doi.org/10.1038/s41531-017-0021-5
4. Bougea A (2020) New markers in Parkinson’s disease. In: Advances in clinical chemistry. Academic Press Inc., Cambridge
5. Tang Y, Meng L, Wan CM, Liu ZH, Liao WH, Yan XX, Wang XY, Tang BS, Guo JF (2017) Identifying the presence of Parkinson’s disease using low-frequency fluctuations in BOLD signals. Neurosci Lett 645:1–6. https://doi.org/10.1016/j.neulet.2017.02.056
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