COPER: Continuous Patient State Perceiver

@article{Chauhan2022COPERCP,
  title={COPER: Continuous Patient State Perceiver},
  author={Vinod Chauhan and Anshul Thakur and Odhran O'Donoghue and David A. Clifton},
  journal={2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)},
  year={2022},
  pages={1-4}
}
In electronic health records (EHRs), irregular time-series (ITS) occur naturally due to patient health dynamics, reflected by irregular hospital visits, diseases/conditions and the necessity to measure different vitals signs at each visit etc. ITS present challenges in training machine learning algorithms which mostly are built on assumption of coherent fixed dimensional feature space. In this paper, we propose a novel COntinuous patient state PERceiver model, called COPER, to cope with ITS in… 

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