Optimized supervised learning approach to predict Parkinson’s disease with minimal attributes using PPMI Datasets
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17582-1.pdf
Reference37 articles.
1. Dauer W, Przedborski S (2003) Parkinson’s disease: mechanisms and models. Neuron 39(6):889–909
2. Jankovic J (2008) Parkinson’s disease: clinical features and diagnosis. J Neurol Neurosurg Psychiatry 79(4):368–376
3. Goetz CG, Leurgans S, Raman R (2002) Placebo-associated improvements in motor function: comparison of subjective and objective sections of the UPDRS in early Parkinson’s disease. Mov Disord: Off J Mov Disord Soc 17(2):283–288
4. Movement Disorder Society Task Force on Rating Scales for Parkinson’s Disease (2003) The unified Parkinson’s disease rating scale (UPDRS): status and recommendations. Mov Disord 18(7):738–750
5. Gallagher DA, Goetz CG, Stebbins G, Lees AJ, Schrag A (2012) Validation of the MDS-UPDRS Part I for nonmotor symptoms in Parkinson’s disease. Mov Disord 27(1):79–83
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