Prediction of the Degree of Parkinson's Condition Using Recordings of Patients' Voices

Clara Jiménez-Recio, Alexander Zlotnik, Ascensión Gallardo-Antolín, Juan Manuel Montero, Juan Carlos Martínez-Castrillo. Prediction of the Degree of Parkinson's Condition Using Recordings of Patients' Voices. In Ajith Abraham, Abdelkrim Haqiq, Azah Kamilah Muda, Niketa Gandhi, editors, Proceedings of the Ninth International Conference on Soft Computing and Pattern Recognition, SoCPaR 2017, Marrakech, Morocco, December 11-13, 2017. Volume 737 of Advances in Intelligent Systems and Computing, pages 120-129, Springer, 2017. [doi]

@inproceedings{Jimenez-RecioZG17,
  title = {Prediction of the Degree of Parkinson's Condition Using Recordings of Patients' Voices},
  author = {Clara Jiménez-Recio and Alexander Zlotnik and Ascensión Gallardo-Antolín and Juan Manuel Montero and Juan Carlos Martínez-Castrillo},
  year = {2017},
  doi = {10.1007/978-3-319-76357-6_12},
  url = {https://doi.org/10.1007/978-3-319-76357-6_12},
  researchr = {https://researchr.org/publication/Jimenez-RecioZG17},
  cites = {0},
  citedby = {0},
  pages = {120-129},
  booktitle = {Proceedings of the Ninth International Conference on Soft Computing and Pattern Recognition, SoCPaR 2017, Marrakech, Morocco, December 11-13, 2017},
  editor = {Ajith Abraham and Abdelkrim Haqiq and Azah Kamilah Muda and Niketa Gandhi},
  volume = {737},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-319-76357-6},
}