An ensemble of k-nearest neighbours algorithm for detection of Parkinson's disease

@article{Gk2015AnEO,
  title={An ensemble of k-nearest neighbours algorithm for detection of Parkinson's disease},
  author={Murat G{\"o}k},
  journal={Int. J. Systems Science},
  year={2015},
  volume={46},
  pages={1108-1112}
}
Parkinson's disease is a disease of the central nervous system that leads to severe difficulties in motor functions. Developing computational tools for recognition of Parkinson's disease at the early stages is very desirable for alleviating the symptoms. In this paper, we developed a discriminative model based on a selected feature subset and applied several classifier algorithms in the context of disease detection. All classifier performances from the point of both stand-alone and rotation… CONTINUE READING

Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 12 CITATIONS