A novel hybrid CNN-KNN ensemble voting classifier for Parkinson’s disease prediction from hand sketching images-Reference-Cited by-同舟云学术

A novel hybrid CNN-KNN ensemble voting classifier for Parkinson’s disease prediction from hand sketching images

Published:2024-05-14 Issue: Volume: Page:
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Saleh Shawki^ORCID,Ouhmida Asmae^ORCID,Cherradi Bouchaib^ORCID,Al-Sarem Mohammed^ORCID,Hamida Soufiane^ORCID,Alblwi Abdulaziz^ORCID,Mahyoob Mohammad^ORCID,Bouattane Omar^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-19314-5.pdf

Reference70 articles.

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2. Bloem BR, Okun MS, Klein C (2021) Parkinson’s disease. The Lancet 397:2284–2303. https://doi.org/10.1016/S0140-6736(21)00218-X

3. Herz DM, Brown P (2023) Moving, fast and slow: behavioural insights into bradykinesia in Parkinson’s disease. Brain awad069. https://doi.org/10.1093/brain/awad069

4. Yang Y, Tang B, Guo J (2016) Parkinson’s disease and cognitive impairment. Parkinson’s Disease 2016:1–8. https://doi.org/10.1155/2016/6734678

5. Raggi A, Leonardi M, Carella F et al (2011) Impact of nonmotor symptoms on disability in patients with parkinson’s disease. Int J Rehabil Res 34:316–320. https://doi.org/10.1097/MRR.0b013e32834d4b66

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