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Comparing Rule-based, Feature-based and Deep Neural Methods for
  De-identification of Dutch Medical Records

Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records

16 January 2020
Jan Trienes
D. Trieschnigg
C. Seifert
D. Hiemstra
ArXivPDFHTML

Papers citing "Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records"

3 / 3 papers shown
Title
Neural Natural Language Processing for Unstructured Data in Electronic
  Health Records: a Review
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
Irene Z Li
Jessica Pan
Jeremy Goldwasser
Neha Verma
Wai Pan Wong
...
Matthew Zhang
David Chang
R. Taylor
H. Krumholz
Dragomir R. Radev
BDL
26
154
0
07 Jul 2021
Transferability of Neural Network Clinical De-identification Systems
Transferability of Neural Network Clinical De-identification Systems
Kahyun Lee
Nicholas J. Dobbins
Bridget T. McInnes
Meliha Yetisgen
Özlem Uzuner
OOD
31
5
0
17 Feb 2021
A Deep Learning Architecture for De-identification of Patient Notes:
  Implementation and Evaluation
A Deep Learning Architecture for De-identification of Patient Notes: Implementation and Evaluation
Kaung Khin
Philipp Burckhardt
R. Padman
26
38
0
03 Oct 2018
1