An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care

Seyedmostafa Sheikhalishahi, Anirban Bhattacharyya, Leo Anthony Celi, Venet Osmani. An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care. Artificial Intelligence in Medicine, 144:102659, October 2023. [doi]

@article{SheikhalishahiBCO23,
  title = {An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care},
  author = {Seyedmostafa Sheikhalishahi and Anirban Bhattacharyya and Leo Anthony Celi and Venet Osmani},
  year = {2023},
  month = {October},
  doi = {10.1016/j.artmed.2023.102659},
  url = {https://doi.org/10.1016/j.artmed.2023.102659},
  researchr = {https://researchr.org/publication/SheikhalishahiBCO23},
  cites = {0},
  citedby = {0},
  journal = {Artificial Intelligence in Medicine},
  volume = {144},
  pages = {102659},
}