Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference38 articles.
1. Optimized machine learning methods for prediction of cognitive outcome in Parkinson’s disease;Salmanpour;Comput. Biol. Med.,2019
2. A. Tsanas, M.A. Little, P.E. McSharry, L.O. Ramig, Enhanced classical dysphonia measures and sparse regression for telemonitoring of Parkinson’s disease progression, in: International Conference on Acoustics, Speech and Signal Processing, 2010, pp. 594–597.
3. Analyzing the effectiveness of vocal features in early telediagnosis of Parkinson’s disease;Sakar;PLoS One,2017
4. Musculoskeletal problems as an initial manifestation of Parkinson’s disease: A retrospective study;Farnikova;J. Neurol. Sci.,2012
5. A hybrid intelligent system for the prediction of Parkinson’s disease progression using machine learning techniques;Nilashi;Biocybern. Biomed. Eng.,2018
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