Rules Found by Multimodal Learning in One Group of Patients Help to Determine Optimal Treatment to Other Group of Parkinson's Patients

Andrzej W. Przybyszewski, Stanislaw Szlufik, Piotr Habela, Dariusz M. Koziorowski. Rules Found by Multimodal Learning in One Group of Patients Help to Determine Optimal Treatment to Other Group of Parkinson's Patients. In Ngoc Thanh Nguyen, Satoshi Tojo, Le Minh Nguyen, Bogdan Trawinski, editors, Intelligent Information and Database Systems - 9th Asian Conference, ACIIDS 2017, Kanazawa, Japan, April 3-5, 2017, Proceedings, Part II. Volume 10192 of Lecture Notes in Computer Science, pages 359-367, 2017. [doi]

@inproceedings{PrzybyszewskiSH17,
  title = {Rules Found by Multimodal Learning in One Group of Patients Help to Determine Optimal Treatment to Other Group of Parkinson's Patients},
  author = {Andrzej W. Przybyszewski and Stanislaw Szlufik and Piotr Habela and Dariusz M. Koziorowski},
  year = {2017},
  doi = {10.1007/978-3-319-54430-4_35},
  url = {http://dx.doi.org/10.1007/978-3-319-54430-4_35},
  researchr = {https://researchr.org/publication/PrzybyszewskiSH17},
  cites = {0},
  citedby = {0},
  pages = {359-367},
  booktitle = {Intelligent Information and Database Systems - 9th Asian Conference, ACIIDS 2017, Kanazawa, Japan, April 3-5, 2017, Proceedings, Part II},
  editor = {Ngoc Thanh Nguyen and Satoshi Tojo and Le Minh Nguyen and Bogdan Trawinski},
  volume = {10192},
  series = {Lecture Notes in Computer Science},
  isbn = {978-3-319-54429-8},
}