Active Deep Learning to Detect Demographic Traits in Free-Form Clinical Notes

Amir Feder
Amir Feder
Danny Vainstein
Danny Vainstein
Roni Rosenfeld
Roni Rosenfeld

J. Biomed. Informatics, pp. 1034362020.

Cited by: 1|Bibtex|Views16|Links
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Keywords:
Active Machine LearningData AnonymizationDeep LearningNatural Language ProcessingPersonally Identifiable Information

Abstract:

The free-form portions of clinical notes are a significant source of information for research, but before they can be used, they must be de-identified to protect patients' privacy. De-identification efforts have focused on known identifier types (names, ages, dates, addresses, ID's, etc.). However, a note can contain residual "Demographic...More

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