Parkinson's disease diagnosis by voice data using particle swarm optimization-extreme learning machine approach
Author:
Funder
Universiti Kebangsaan Malaysia
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-20108-y.pdf
Reference62 articles.
1. Li R et al (2021) Basal ganglia atrophy–associated causal structural network degeneration in Parkinson’s disease. Hum Brain Mapp 43:1145–1156
2. Bekris LM et al (2011) The genetics of Alzheimer’s disease and Parkinson’s disease. Neurochem Mech Dis 695–755. https://doi.org/10.1007/978-1-4419-7104-3_21
3. Ma C et al (2014) An efficient diagnosis system for Parkinson’s disease using kernel-based extreme learning machine with subtractive clustering features weighting approach. Comput Math Methods Med 2014:1–14
4. Mei J, Desrosiers C, Frasnelli J (2021) Machine learning for the diagnosis of parkinson’s disease: A review of literature. Front Aging Neurosci 13:184
5. Nissar I, Mir WA, Shaikh TA (2021, March) Machine learning approaches for detection and diagnosis of Parkinson’s disease-a review. In: 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), vol 1. IEEE, pp 898–905
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