Predicting Parkinson's Disease Severity Using Patient-Reported Outcomes and Genetic Information

Mahsa Mohaghegh, Nasca Peng. Predicting Parkinson's Disease Severity Using Patient-Reported Outcomes and Genetic Information. In Mohammad Tanveer 0001, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt, editors, Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part V. Volume 1792 of Communications in Computer and Information Science, pages 572-583, Springer, 2022. [doi]

@inproceedings{MohagheghP22,
  title = {Predicting Parkinson's Disease Severity Using Patient-Reported Outcomes and Genetic Information},
  author = {Mahsa Mohaghegh and Nasca Peng},
  year = {2022},
  doi = {10.1007/978-981-99-1642-9_49},
  url = {https://doi.org/10.1007/978-981-99-1642-9_49},
  researchr = {https://researchr.org/publication/MohagheghP22},
  cites = {0},
  citedby = {0},
  pages = {572-583},
  booktitle = {Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part V},
  editor = {Mohammad Tanveer 0001 and Sonali Agarwal and Seiichi Ozawa and Asif Ekbal and Adam Jatowt},
  volume = {1792},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-981-99-1642-9},
}