Automated restricted Boltzmann machine classifier for early diagnosis of Parkinson’s disease using digitized spiral drawings
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-022-04361-3.pdf
Reference38 articles.
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2. Alissa M, Lones MA, Cosgrove J, Alty JE, Jamieson S, Smith SL, Vallejo M (2021) Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks. Neural Comput Appl. https://doi.org/10.1007/s00521-021-06469-7
3. Barui S, Latha S, Sammiappan D, Muthu P (2018) SVM pixel classification on colour image segmentation. J Phys: Conf Ser 1000:012110. https://doi.org/10.1088/1742-6596/1000/1/012110
4. Cantürk I (2021) Fuzzy recurrence plot-based analysis of dynamic and static spiral tests of Parkinson’s disease patients. Neural Comput Appl 33:349–360. https://doi.org/10.1007/s00521-020-05014-2
5. Chandra J, Siva M, Zisheng S, Richard D, Raymond L, Irina T, Dignity B, Daniel S, Sammer M, Soham B, Alexander C, Anushka B, Sreekar M, Daniel ZP (2021) Screening of Parkinson’s disease using geometric features extracted from spiral drawings. Brain Sci 11(10):1297. https://doi.org/10.3390/brainsci11101297
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