Unsupervised Machine Learning Elicits Patient Archetypes in a Primary Percutaneous Coronary Intervention Service

Aleeha Iftikhar, Raymond Bond, Victoria McGilligan, Khaled Rjoob, Stephen J. Leslie, Charles Knoery, Anne McShane, Aaron J. Peace. Unsupervised Machine Learning Elicits Patient Archetypes in a Primary Percutaneous Coronary Intervention Service. In Illhoi Yoo, Jinbo Bi, Xiaohua Hu, editors, 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019, San Diego, CA, USA, November 18-21, 2019. pages 1309-1314, IEEE, 2019. [doi]

@inproceedings{IftikharBMRLKMP19,
  title = {Unsupervised Machine Learning Elicits Patient Archetypes in a Primary Percutaneous Coronary Intervention Service},
  author = {Aleeha Iftikhar and Raymond Bond and Victoria McGilligan and Khaled Rjoob and Stephen J. Leslie and Charles Knoery and Anne McShane and Aaron J. Peace},
  year = {2019},
  doi = {10.1109/BIBM47256.2019.8983318},
  url = {https://doi.org/10.1109/BIBM47256.2019.8983318},
  researchr = {https://researchr.org/publication/IftikharBMRLKMP19},
  cites = {0},
  citedby = {0},
  pages = {1309-1314},
  booktitle = {2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019, San Diego, CA, USA, November 18-21, 2019},
  editor = {Illhoi Yoo and Jinbo Bi and Xiaohua Hu},
  publisher = {IEEE},
  isbn = {978-1-7281-1867-3},
}