De-Identifying GRASCCO - A Pilot Study for the De-Identification of the German Medical Text Project (GeMTeX) Corpus.

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Title: De-Identifying GRASCCO - A Pilot Study for the De-Identification of the German Medical Text Project (GeMTeX) Corpus.
Authors: Lohr C; Institute for Medical Informatics, Statistics, and Epidemiology, Leipzig University, Germany.; GeMTeX Consortium of the German Medical Informatics Initiative., Matthies F; Institute for Medical Informatics, Statistics, and Epidemiology, Leipzig University, Germany.; GeMTeX Consortium of the German Medical Informatics Initiative., Faller J; Medical Center for Information and Communication Technology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.; GeMTeX Consortium of the German Medical Informatics Initiative., Modersohn L; Institute of Artificial Intelligence and Informatics in Medicine, Medical Center rechts der Isar, Technical University Munich, Germany.; GeMTeX Consortium of the German Medical Informatics Initiative., Riedel A; Medical Center for Information and Communication Technology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.; GeMTeX Consortium of the German Medical Informatics Initiative., Hahn U; Institute for Medical Informatics, Statistics, and Epidemiology, Leipzig University, Germany.; GeMTeX Consortium of the German Medical Informatics Initiative., Kiser R; Institute of Artificial Intelligence and Informatics in Medicine, Medical Center rechts der Isar, Technical University Munich, Germany., Boeker M; Institute of Artificial Intelligence and Informatics in Medicine, Medical Center rechts der Isar, Technical University Munich, Germany.; GeMTeX Consortium of the German Medical Informatics Initiative., Meineke F; Institute for Medical Informatics, Statistics, and Epidemiology, Leipzig University, Germany.; GeMTeX Consortium of the German Medical Informatics Initiative.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2024 Aug 30; Vol. 317, pp. 171-179.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: De-Identifying GRASCCO - A Pilot Study for the De-Identification of the German Medical Text Project (GeMTeX) Corpus.
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  Data: <searchLink fieldCode="AU" term="%22Lohr+C%22">Lohr C</searchLink>; Institute for Medical Informatics, Statistics, and Epidemiology, Leipzig University, Germany.; GeMTeX Consortium of the German Medical Informatics Initiative.<br /><searchLink fieldCode="AU" term="%22Matthies+F%22">Matthies F</searchLink>; Institute for Medical Informatics, Statistics, and Epidemiology, Leipzig University, Germany.; GeMTeX Consortium of the German Medical Informatics Initiative.<br /><searchLink fieldCode="AU" term="%22Faller+J%22">Faller J</searchLink>; Medical Center for Information and Communication Technology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.; GeMTeX Consortium of the German Medical Informatics Initiative.<br /><searchLink fieldCode="AU" term="%22Modersohn+L%22">Modersohn L</searchLink>; Institute of Artificial Intelligence and Informatics in Medicine, Medical Center rechts der Isar, Technical University Munich, Germany.; GeMTeX Consortium of the German Medical Informatics Initiative.<br /><searchLink fieldCode="AU" term="%22Riedel+A%22">Riedel A</searchLink>; Medical Center for Information and Communication Technology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.; GeMTeX Consortium of the German Medical Informatics Initiative.<br /><searchLink fieldCode="AU" term="%22Hahn+U%22">Hahn U</searchLink>; Institute for Medical Informatics, Statistics, and Epidemiology, Leipzig University, Germany.; GeMTeX Consortium of the German Medical Informatics Initiative.<br /><searchLink fieldCode="AU" term="%22Kiser+R%22">Kiser R</searchLink>; Institute of Artificial Intelligence and Informatics in Medicine, Medical Center rechts der Isar, Technical University Munich, Germany.<br /><searchLink fieldCode="AU" term="%22Boeker+M%22">Boeker M</searchLink>; Institute of Artificial Intelligence and Informatics in Medicine, Medical Center rechts der Isar, Technical University Munich, Germany.; GeMTeX Consortium of the German Medical Informatics Initiative.<br /><searchLink fieldCode="AU" term="%22Meineke+F%22">Meineke F</searchLink>; Institute for Medical Informatics, Statistics, and Epidemiology, Leipzig University, Germany.; GeMTeX Consortium of the German Medical Informatics Initiative.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22IOS+Press%22">IOS Press </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9214582 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-8365 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209269630%22">09269630 </searchLink><i>NLM ISO Abbreviation: </i>Stud Health Technol Inform <i>Subsets: </i>MEDLINE
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        Value: 10.3233/SHTI240853
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              Text: 2024 Aug 30
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