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

Trienes Jan, Dolf Trienschnigg, Christin Seifert, Djoerd Hiemstra

Research output: Contribution to conferencePaper

11 Downloads (Pure)
Original languageEnglish
Publication statusPublished - 2020
EventACM Health Search and Data Mining Workshop, HSDM 2020 - Houston, United States
Duration: 3 Feb 20203 Feb 2020
https://sites.google.com/view/hsdm20

Workshop

WorkshopACM Health Search and Data Mining Workshop, HSDM 2020
Abbreviated titleHSDM 2020
CountryUnited States
CityHouston
Period3/02/203/02/20
OtherHeld at the 13th ACM International WSDM Conference
Internet address

Cite this

Jan, T., Trienschnigg, D., Seifert, C., & Hiemstra, D. (2020). Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records. Paper presented at ACM Health Search and Data Mining Workshop, HSDM 2020, Houston, United States.
Jan, Trienes ; Trienschnigg, Dolf ; Seifert, Christin ; Hiemstra, Djoerd . / Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records. Paper presented at ACM Health Search and Data Mining Workshop, HSDM 2020, Houston, United States.
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title = "Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records",
author = "Trienes Jan and Dolf Trienschnigg and Christin Seifert and Djoerd Hiemstra",
year = "2020",
language = "English",
note = "ACM Health Search and Data Mining Workshop, HSDM 2020, HSDM 2020 ; Conference date: 03-02-2020 Through 03-02-2020",
url = "https://sites.google.com/view/hsdm20",

}

Jan, T, Trienschnigg, D, Seifert, C & Hiemstra, D 2020, 'Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records' Paper presented at ACM Health Search and Data Mining Workshop, HSDM 2020, Houston, United States, 3/02/20 - 3/02/20, .

Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records. / Jan, Trienes; Trienschnigg, Dolf; Seifert, Christin ; Hiemstra, Djoerd .

2020. Paper presented at ACM Health Search and Data Mining Workshop, HSDM 2020, Houston, United States.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records

AU - Jan, Trienes

AU - Trienschnigg, Dolf

AU - Seifert, Christin

AU - Hiemstra, Djoerd

PY - 2020

Y1 - 2020

UR - https://arxiv.org/abs/2001.05714

M3 - Paper

ER -

Jan T, Trienschnigg D, Seifert C, Hiemstra D. Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records. 2020. Paper presented at ACM Health Search and Data Mining Workshop, HSDM 2020, Houston, United States.