T-DPSOM: an interpretable clustering method for unsupervised learning of patient health states

Laura Manduchi, Matthias Hüser, Martin Faltys, Julia E. Vogt, Gunnar Rätsch, Vincent Fortuin. T-DPSOM: an interpretable clustering method for unsupervised learning of patient health states. In Marzyeh Ghassemi, Tristan Naumann, Emma Pierson, editors, ACM CHIL '21: ACM Conference on Health, Inference, and Learning, Virtual Event, USA, April 8-9, 2021. pages 236-245, ACM, 2021. [doi]

@inproceedings{ManduchiHFVRF21,
  title = {T-DPSOM: an interpretable clustering method for unsupervised learning of patient health states},
  author = {Laura Manduchi and Matthias Hüser and Martin Faltys and Julia E. Vogt and Gunnar Rätsch and Vincent Fortuin},
  year = {2021},
  doi = {10.1145/3450439.3451872},
  url = {https://doi.org/10.1145/3450439.3451872},
  researchr = {https://researchr.org/publication/ManduchiHFVRF21},
  cites = {0},
  citedby = {0},
  pages = {236-245},
  booktitle = {ACM CHIL '21: ACM Conference on Health, Inference, and Learning, Virtual Event, USA, April 8-9, 2021},
  editor = {Marzyeh Ghassemi and Tristan Naumann and Emma Pierson},
  publisher = {ACM},
  isbn = {978-1-4503-8359-2},
}