HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management

Georgios Mavroudeas, Malik Magdon-Ismail, Xiao Shou, Kristin P. Bennett. HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management. In Peipei Li, Kui Yu, Nitesh V. Chawla, Ronen Feldman, Qing Li, Xindong Wu, editors, IEEE International Conference on Knowledge Graph, ICKG 2022, Orlando, FL, USA, November 30 - Dec. 1, 2022. pages 180-187, IEEE, 2022. [doi]

@inproceedings{MavroudeasMSB22-0,
  title = {HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management},
  author = {Georgios Mavroudeas and Malik Magdon-Ismail and Xiao Shou and Kristin P. Bennett},
  year = {2022},
  doi = {10.1109/ICKG55886.2022.00030},
  url = {https://doi.org/10.1109/ICKG55886.2022.00030},
  researchr = {https://researchr.org/publication/MavroudeasMSB22-0},
  cites = {0},
  citedby = {0},
  pages = {180-187},
  booktitle = {IEEE International Conference on Knowledge Graph, ICKG 2022, Orlando, FL, USA, November 30 - Dec. 1, 2022},
  editor = {Peipei Li and Kui Yu and Nitesh V. Chawla and Ronen Feldman and Qing Li and Xindong Wu},
  publisher = {IEEE},
  isbn = {978-1-6654-5101-7},
}