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De-identifying Australian Hospital Discharge Summaries: An End-to-End
  Framework using Ensemble of Deep Learning Models

De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models

1 January 2021
Leibo Liu
O. Perez-Concha
Anthony N. Nguyen
Vicki Bennett
Louisa R Jorm
ArXivPDFHTML

Papers citing "De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models"

3 / 3 papers shown
Title
De-identification of clinical free text using natural language
  processing: A systematic review of current approaches
De-identification of clinical free text using natural language processing: A systematic review of current approaches
Aleksandar Kovacevic
Bojana Bašaragin
Nikola Milosevic
Goran Nenadic
OOD
23
16
0
28 Nov 2023
Stanza: A Python Natural Language Processing Toolkit for Many Human
  Languages
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi
Yuhao Zhang
Yuhui Zhang
Jason Bolton
Christopher D. Manning
AI4TS
199
1,652
0
16 Mar 2020
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,244
0
16 Jan 2013
1