• Corpus ID: 199448369

Window Classifiers and Conditional Random Fields for Medical Report De-Identification

@inproceedings{Cotik2019WindowCA,
  title={Window Classifiers and Conditional Random Fields for Medical Report De-Identification},
  author={Viviana Cotik and Franco M. Luque and Juan Manuel P{\'e}rez},
  booktitle={IberLEF@SEPLN},
  year={2019}
}
Information extraction of medical reports is key in order to improve timely discoveries of findings and as an aid to improve decisions about medical treatments and budget. In order to develop information extraction methods, medical data has to be available. Since this data is extremely sensitive due to the presence of personal information, report de-identification is needed. We present two methods, a window classifier and an implementation of conditional random fields (CRF) in order to de… 

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