Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records

Yikuan Li, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi. Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records. IEEE Transactions on Information Technology in Biomedicine, 27(2):1106-1117, February 2023. [doi]

@article{LiMSRHCLR23,
  title = {Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records},
  author = {Yikuan Li and Mohammad Mamouei and Gholamreza Salimi Khorshidi and Shishir Rao and Abdelaali Hassaïne and Dexter Canoy and Thomas Lukasiewicz and Kazem Rahimi},
  year = {2023},
  month = {February},
  doi = {10.1109/JBHI.2022.3224727},
  url = {https://doi.org/10.1109/JBHI.2022.3224727},
  researchr = {https://researchr.org/publication/LiMSRHCLR23},
  cites = {0},
  citedby = {0},
  journal = {IEEE Transactions on Information Technology in Biomedicine},
  volume = {27},
  number = {2},
  pages = {1106-1117},
}