ML Anthology

Application of Topological Data Analysis to Delirium Detection

Mari Kajitani, Ken Kobayashi, Yuichi Ike, Takehiko Yamanashi, Yuhei Umeda, Yoshimasa Kadooka, Gen Shinozaki
NeurIPSW 2020
/neuripsw/2020/kajitani2020neuripsw-application/

Abstract

We propose a new scoring algorithm for detecting delirium from one-channel EEG, based on topological data analysis. Numerical experiments demonstrated that our method achieved high predictive performance than the other existing methods.

PDF NeurIPSW OpenReview Semantic Scholar

Cite

Text

Kajitani et al. "Application of Topological Data Analysis to Delirium Detection." NeurIPS 2020 Workshops: TDA_and_Beyond, 2020.

Markdown

[Kajitani et al. "Application of Topological Data Analysis to Delirium Detection." NeurIPS 2020 Workshops: TDA_and_Beyond, 2020.](https://mlanthology.org/neuripsw/2020/kajitani2020neuripsw-application/)

BibTeX

@inproceedings{kajitani2020neuripsw-application,
  title     = {{Application of Topological Data Analysis to Delirium Detection}},
  author    = {Kajitani, Mari and Kobayashi, Ken and Ike, Yuichi and Yamanashi, Takehiko and Umeda, Yuhei and Kadooka, Yoshimasa and Shinozaki, Gen},
  booktitle = {NeurIPS 2020 Workshops: TDA_and_Beyond},
  year      = {2020},
  url       = {https://mlanthology.org/neuripsw/2020/kajitani2020neuripsw-application/}
}