Customization scenarios for de-identification of clinical notes.
Journal:
BMC medical informatics and decision making
Published Date:
Jan 30, 2020
Abstract
BACKGROUND: Automated machine-learning systems are able to de-identify electronic medical records, including free-text clinical notes. Use of such systems would greatly boost the amount of data available to researchers, yet their deployment has been limited due to uncertainty about their performance when applied to new datasets.