Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach. Armañanzas, R., Bielza, C., Chaudhuri, K. R., Martínez-Martín, P., & Larrañaga, P. Artif. Intell. Medicine, 58(3):195-202, 2013.
Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach. [link]Link  Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach. [link]Paper  bibtex   
@article{journals/artmed/ArmananzasBCML13,
  added-at = {2020-02-20T00:00:00.000+0100},
  author = {Armañanzas, Rubén and Bielza, Concha and Chaudhuri, Kallol Ray and Martínez-Martín, Pablo and Larrañaga, Pedro},
  biburl = {https://www.bibsonomy.org/bibtex/223bbf50db45ecfd43cc8757367f34777/dblp},
  ee = {https://www.wikidata.org/entity/Q44646265},
  interhash = {17136f1950e8b8ed5fcdbd792f105a3b},
  intrahash = {23bbf50db45ecfd43cc8757367f34777},
  journal = {Artif. Intell. Medicine},
  keywords = {dblp},
  number = 3,
  pages = {195-202},
  timestamp = {2020-02-21T12:07:14.000+0100},
  title = {Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach.},
  url = {http://dblp.uni-trier.de/db/journals/artmed/artmed58.html#ArmananzasBCML13},
  volume = 58,
  year = 2013
}

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