% Use this file for citations not found in the ACL Anthology (contained in "anthology.bib").

@article{DBLP:journals/corr/VaswaniSPUJGKP17,
  author    = {Ashish Vaswani and
               Noam Shazeer and
               Niki Parmar and
               Jakob Uszkoreit and
               Llion Jones and
               Aidan N. Gomez and
               Lukasz Kaiser and
               Illia Polosukhin},
  title     = {Attention Is All You Need},
  journal   = {CoRR},
  volume    = {abs/1706.03762},
  year      = {2017},
  url       = {http://arxiv.org/abs/1706.03762},
  eprinttype = {arXiv},
  eprint    = {1706.03762},
  timestamp = {Sat, 23 Jan 2021 01:20:40 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/VaswaniSPUJGKP17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}


@article{mimic,
  author    = {Alistair E.W. Johnson and
               Tom J. Pollard and
               Lu Shen and
               Li-wei H. Lehman and
               Mengling Feng and
               Mohammad Ghassemi and
               Benjamin Moody and
               Peter Szolovits and
               Leo Anthony Celi and
               Roger G. Mark },
  title     = {MIMIC-III, a freely accessible critical care database},
  journal   = {Nature},
  year      = {2016},
}

@misc{alsentzer2019publicly,
      title={Publicly Available Clinical BERT Embeddings}, 
      author={Emily Alsentzer and John R. Murphy and Willie Boag and Wei-Hung Weng and Di Jin and Tristan Naumann and Matthew B. A. McDermott},
      year={2019},
      eprint={1904.03323},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@article{schneeweiss2001performance,
  title={Performance of comorbidity scores to control for confounding in epidemiologic studies using claims data},
  author={Schneeweiss, Sebastian and Seeger, John D and Maclure, Malcolm and Wang, Philip S and Avorn, Jerry and Glynn, Robert J},
  journal={American journal of epidemiology},
  volume={154},
  number={9},
  pages={854--864},
  year={2001},
  publisher={Oxford University Press}
}

@article{DBLP:journals/corr/abs-2004-05150,
  author       = {Iz Beltagy and
                  Matthew E. Peters and
                  Arman Cohan},
  title        = {Longformer: The Long-Document Transformer},
  journal      = {CoRR},
  volume       = {abs/2004.05150},
  year         = {2020},
  url          = {https://arxiv.org/abs/2004.05150},
  eprinttype    = {arXiv},
  eprint       = {2004.05150},
  timestamp    = {Tue, 14 Apr 2020 16:40:34 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2004-05150.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2201-11838,
  author       = {Yikuan Li and
                  Ramsey M. Wehbe and
                  Faraz S. Ahmad and
                  Hanyin Wang and
                  Yuan Luo},
  title        = {Clinical-Longformer and Clinical-BigBird: Transformers for long clinical
                  sequences},
  journal      = {CoRR},
  volume       = {abs/2201.11838},
  year         = {2022},
  url          = {https://arxiv.org/abs/2201.11838},
  eprinttype    = {arXiv},
  eprint       = {2201.11838},
  timestamp    = {Wed, 02 Feb 2022 15:00:01 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2201-11838.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{huang2019clinicalbert,
  title={ClinicalBERT: Modeling clinical notes and predicting hospital readmission},
  author={Huang, Kexin and Altosaar, Jaan and Ranganath, Rajesh},
  journal={arXiv preprint arXiv:1904.05342},
  year={2019},
  url={https://doi.org/10.48550/arXiv.1904.05342}
}

@incollection{thapa2022hospital,
  title={Hospital Readmission Prediction Using Clinical Admission Notes},
  author={Thapa, Nischay Bikram and Seifollahi, Sattar and Taheri, Sona},
  booktitle={Australasian Computer Science Week 2022},
  pages={193--199},
  year={2022},
  url={https://doi.org/10.1145/3511616.3513115}
}

@article{9056492,
  author={Darabi, Sajad and Kachuee, Mohammad and Fazeli, Shayan and Sarrafzadeh, Majid},
  journal={IEEE Journal of Biomedical and Health Informatics}, 
  title={TAPER: Time-Aware Patient EHR Representation}, 
  year={2020},
  volume={24},
  number={11},
  pages={3268-3275},
  doi={10.1109/JBHI.2020.2984931}}

@inproceedings{he2022masked,
  title  = {Masked autoencoders are scalable vision learners},
  author  = {Kaiming He and Xinlei Chen and Saining Xie and Yanghao Li and Piotr Doll{\'a}r and Ross Girshick},
  journal = {arXiv:2111.06377},
  year    = {2021},
}

@article{huang2020informativeness,
  title={The Informativeness of Text, the Deep Learning Approach},
  author={Huang, Allen and Wang, Hui and Yang, Yi},
  year={2020},
  url={http://hdl.handle.net/10125/70549}
}

@article{mimiciv,
author = {Johnson, Alistair and Bulgarelli, Lucas and Shen, Lu and Gayles, Alvin and Shammout, Ayad and Horng, Steven and Pollard, Tom and Hao, Sicheng and Moody, Benjamin and Gow, Brian and Lehman, Li-wei and Celi, Leo and Mark, Roger},
year = {2023},
month = {01},
pages = {1},
title = {MIMIC-IV, a freely accessible electronic health record dataset},
volume = {10},
journal = {Scientific Data},
doi = {10.1038/s41597-022-01899-x}
}

@article{yang2022language,
  title={Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission Prediction},
  author={Yang, Grace and Cao, Ming and Jiang, Lavender Y and Liu, Xujin C and Cheung, Alexander and Weiss, Hannah and Kurland, Davied and Cho, Kyunghyun and Oermann, Eric K},
  journal={arXiv preprint arXiv:2211.07047},
  year={2022}
}