• Corpus ID: 239050273

An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C)

@article{Liu2021AnON,
  title={An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C)},
  author={Sijia Liu and Andrew Wen and Liwei Wang and Huan He and Sunyang Fu and Robert T. Miller and Andrew Williams and Daniel Harris and Ramakanth Kavuluru and Mei Liu and Noor Abu-El-Rub and Rui Zhang and John David Osborne and Masoud Rouhizadeh and Yongqun Oliver He and Emily R. Pfaff and Christopher G. Chute and Tim Q. Duong and Melissa A. Haendel and Rafael Fuentes and Peter Szolovits and Hua Xu and Hongfang Liu},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.10780}
}
While we pay attention to the latest advances in clinical natural language processing (NLP), we can notice some resistance in the clinical and translational research community to adopt NLP models due to limited transparency, Interpretability and usability. Built upon our previous work, in this study, we proposed an open natural language processing development framework and evaluated it through the implementation of NLP algorithms for the National COVID Cohort Collaborative (N3C). Based on the… 

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