Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling

Taha Ceritli, Andrew P. Creagh, David A. Clifton. Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. In Peng Xu, Tingting Zhu 0001, Pengkai Zhu, David A. Clifton, Danielle Belgrave, Yuanting Zhang, editors, Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 22 July 2022, Baltimore, Maryland, USA. Volume 184 of Proceedings of Machine Learning Research, pages 41-53, PMLR, 2022. [doi]

@inproceedings{CeritliCC22-0,
  title = {Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling},
  author = {Taha Ceritli and Andrew P. Creagh and David A. Clifton},
  year = {2022},
  url = {https://proceedings.mlr.press/v184/ceritli22a.html},
  researchr = {https://researchr.org/publication/CeritliCC22-0},
  cites = {0},
  citedby = {0},
  pages = {41-53},
  booktitle = {Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 22 July 2022, Baltimore, Maryland, USA},
  editor = {Peng Xu and Tingting Zhu 0001 and Pengkai Zhu and David A. Clifton and Danielle Belgrave and Yuanting Zhang},
  volume = {184},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}