Customization scenarios for de-identification of clinical notes

Michael D Howell
Michael D Howell
Jeff Dean
Jeff Dean
Shlomo Hoory
Shlomo Hoory
Ronit Slyper
Ronit Slyper
Itay Laish
Itay Laish
Oren Gilon
Oren Gilon
Danny Vainstein
Danny Vainstein
Katherine Chou
Katherine Chou
Ming Jack Po
Ming Jack Po
Jutta Williams
Jutta Williams

BMC Medical Informatics and Decision Making, pp. 1-9, 2020.

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Keywords:
De-identification Electronic health records Free text Clinical notes Natural language processingMore(1+)

Abstract:

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. We present practical ...More

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