Novel machine learning-based hybrid strategy for severity assessment of Parkinson’s disorders
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11517-022-02518-y.pdf
Reference40 articles.
1. Hausdorff JM (2009) Gait dynamics in Parkinson’s disease: common and distinct behavior among stride length, gait variability, and fractal-like scaling. Chaos: An Interdisciplinary. Journal of Nonlinear Science 19(2): 026113
2. Jankovic J (2008) Parkinson’s disease: clinical features and diagnosis. J Neurol Neurosurg Psychiatry 79(4):368–376
3. Bhidayasiri R, Tarsy D (2012) Parkinson’s disease: Hoehn and Yahr scale. Movement disorders: a video atlas. Springer, pp 4–5
4. Goetz CG et al (2008) Movement disorder society-sponsored revision of the unified Parkinson’s Disease Rating Scale (MDS-UPDRS): scale presentation and clinimetric testing results. Movement disorders: official journal of the Movement Disorder Society 23(15):2129–2170
5. Rizzo G et al (2016) Accuracy of clinical diagnosis of Parkinson disease: a systematic review and meta-analysis. Neurology 86(6):566–576
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