|Publication status||Published - 2020|
|Event||ACM Health Search and Data Mining Workshop, HSDM 2020 - Houston, United States|
Duration: 3 Feb 2020 → 3 Feb 2020
|Workshop||ACM Health Search and Data Mining Workshop, HSDM 2020|
|Abbreviated title||HSDM 2020|
|Period||3/02/20 → 3/02/20|
|Other||Held at the 13th ACM International WSDM Conference|
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.