Early diagnosis of Parkinson's disease via machine learning on speech data

@article{Hazan2012EarlyDO,
  title={Early diagnosis of Parkinson's disease via machine learning on speech data},
  author={Hananel Hazan and Dan Hilu and L. Manevitz and Lorraine O. Ramig and Shimon Sapir},
  journal={2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel},
  year={2012},
  pages={1-4}
}
  • Hananel Hazan, D. Hilu, S. Sapir
  • Published 1 November 2012
  • Computer Science
  • 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel
Using two distinct data sets (from the USA and Germany) of healthy controls and patients with early or mild stages of Parkinson's disease, we show that machine learning tools can be used for the early diagnosis of Parkinson's disease from speech data. This could potentially be applicable before physical symptoms appear. In addition, we show that while the training phase of machine learning process from one country can be reused in the other; different features dominate in each country… 

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