Using Machine Learning to Unveil Early Signs of Parkinson’s Disease: A Review
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2550-2_44
Reference24 articles.
1. Govindu A, Palwe S (2023) Early detection of Parkinson’s disease using machine learning. Procedia Comput Sci 218:249–261. https://doi.org/10.1016/j.procs.2023.01.007
2. Alshammri R, Alharbi G, Alharbi E, Almubark I (2023) Machine learning approaches to identify Parkinson’s disease using voice signal features. Front Artific Intell 6. https://doi.org/10.3389/frai.2023.1084001
3. Sajal S et al (2020) Telemonitoring Parkinson’s disease using machine learning by combining tremor and voice analysis. Brain Inform 7(1). https://doi.org/10.1186/s40708-020-00113-1
4. Rahman S, Hasan M, Sarkar AK, Khan K (2023) Classification of Parkinson’s disease using speech signal with machine learning and deep learning approaches. Euro J Electric Eng Comput Sci 7(2):20–27. https://doi.org/10.24018/ejece.2023.7.2.488
5. Saeed F et al (2022) Enhancing Parkinson’s disease prediction using machine learning and feature selection methods. Comput Mater Contin 71(3):5639–5658. https://doi.org/10.32604/cmc.2022.023124
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