A nonlinear decision tree based classification approach to predict the Parkinson's disease using different feature sets of voice data

Satyabrata Aich, Kim Younga, Kueh Lee Hui, Ahmed Abdulhakim Al-Absi, Mangal Sain. A nonlinear decision tree based classification approach to predict the Parkinson's disease using different feature sets of voice data. In 20th International Conference on Advanced Communication Technology, ICACT 2018, Elysian Gangchon, Chuncheon, Korea (South), February 11-14, 2018. pages 638-642, IEEE, 2018. [doi]

@inproceedings{AichYHAS18a,
  title = {A nonlinear decision tree based classification approach to predict the Parkinson's disease using different feature sets of voice data},
  author = {Satyabrata Aich and Kim Younga and Kueh Lee Hui and Ahmed Abdulhakim Al-Absi and Mangal Sain},
  year = {2018},
  doi = {10.23919/ICACT.2018.8323864},
  url = {https://doi.org/10.23919/ICACT.2018.8323864},
  researchr = {https://researchr.org/publication/AichYHAS18a},
  cites = {0},
  citedby = {0},
  pages = {638-642},
  booktitle = {20th International Conference on Advanced Communication Technology, ICACT 2018, Elysian Gangchon, Chuncheon, Korea (South), February 11-14, 2018},
  publisher = {IEEE},
  isbn = {979-11-88428-01-4},
}