Unsupervised Learning from Motion Sensor Data to Assess the Condition of Patients with Parkinson's Disease

Teodora Matic, Somayeh Aghanavesi, Mevludin Memedi, Dag Nyholm, Filip Bergquist, Vida Groznik, Jure Zabkar, Aleksander Sadikov. Unsupervised Learning from Motion Sensor Data to Assess the Condition of Patients with Parkinson's Disease. In David Riaño 0001, Szymon Wilk, Annette ten Teije, editors, Artificial Intelligence in Medicine - 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26-29, 2019, Proceedings. Volume 11526 of Lecture Notes in Computer Science, pages 420-424, Springer, 2019. [doi]

@inproceedings{MaticAMNBGZS19,
  title = {Unsupervised Learning from Motion Sensor Data to Assess the Condition of Patients with Parkinson's Disease},
  author = {Teodora Matic and Somayeh Aghanavesi and Mevludin Memedi and Dag Nyholm and Filip Bergquist and Vida Groznik and Jure Zabkar and Aleksander Sadikov},
  year = {2019},
  doi = {10.1007/978-3-030-21642-9_52},
  url = {https://doi.org/10.1007/978-3-030-21642-9_52},
  researchr = {https://researchr.org/publication/MaticAMNBGZS19},
  cites = {0},
  citedby = {0},
  pages = {420-424},
  booktitle = {Artificial Intelligence in Medicine - 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26-29, 2019, Proceedings},
  editor = {David Riaño 0001 and Szymon Wilk and Annette ten Teije},
  volume = {11526},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-21642-9},
}