A dictionary of infection treating antibiotics, including brand names, abbreviations, misspellings, as well as NegEx-like antibiotics negation/speculation rules. The dictionary was created using word2vec and 2 millions nursing notes. Details can be found at http://www.aclweb.org/anthology/W17-2332

@article{apostolova2017toward,
  title={Toward Automated Early Sepsis Alerting: Identifying Infection Patients from Nursing Notes},
  author={Apostolova, Emilia and Velez, Tom},
  journal={BioNLP 2017},
  pages={257--262},
  year={2017}
}