Active Deep Learning to Detect Demographic Traits in Free-Form Clinical Notes
J. Biomed. Informatics, pp. 1034362020.
Active Machine LearningData AnonymizationDeep LearningNatural Language ProcessingPersonally Identifiable Information
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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