Applying unsupervised learning to characterize rare observations in clinical data: the DQe-p tool

Hossein Estiri, Jeffrey G. Klann, Kavishwar B. Wagholikar, Shawn N. Murphy. Applying unsupervised learning to characterize rare observations in clinical data: the DQe-p tool. In AMIA 2017, American Medical Informatics Association Annual Symposium, Washington, DC, November 4-8, 2017. AMIA, 2017. [doi]

@inproceedings{EstiriKWM17,
  title = {Applying unsupervised learning to characterize rare observations in clinical data: the DQe-p tool},
  author = {Hossein Estiri and Jeffrey G. Klann and Kavishwar B. Wagholikar and Shawn N. Murphy},
  year = {2017},
  url = {http://knowledge.amia.org/65881-amia-1.3897810/t001-1.3902093/f001-1.3902094/2730162-1.3902375/2731328-1.3902372},
  researchr = {https://researchr.org/publication/EstiriKWM17},
  cites = {0},
  citedby = {0},
  booktitle = {AMIA 2017, American Medical Informatics Association Annual Symposium, Washington, DC, November 4-8, 2017},
  publisher = {AMIA},
}