CovRNN: predicting outcomes of COVID-19 patients on admission using their electronic health records with minimal data processing

Laila Rasmy, Masayuki Nigo, Bijun S. Kannadath, Ziqian Xie, Bingyu Mao, Khush A. Patel, Wanheng Zhang, Yujia Zhou 0003, Angela Ross, Hua Xu 0001, Degui Zhi. CovRNN: predicting outcomes of COVID-19 patients on admission using their electronic health records with minimal data processing. In AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021 - November 3, 2021. AMIA, 2021. [doi]

@inproceedings{RasmyNKXMPZ0R0Z21,
  title = {CovRNN: predicting outcomes of COVID-19 patients on admission using their electronic health records with minimal data processing},
  author = {Laila Rasmy and Masayuki Nigo and Bijun S. Kannadath and Ziqian Xie and Bingyu Mao and Khush A. Patel and Wanheng Zhang and Yujia Zhou 0003 and Angela Ross and Hua Xu 0001 and Degui Zhi},
  year = {2021},
  url = {https://knowledge.amia.org/74229-amia-1.4622266/t004-1.4626008/t004-1.4626009/3576321-1.4626157/3631131-1.4626154},
  researchr = {https://researchr.org/publication/RasmyNKXMPZ0R0Z21},
  cites = {0},
  citedby = {0},
  booktitle = {AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021 - November 3, 2021},
  publisher = {AMIA},
}