Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Medical document anonymization with a semantic lexicon.

Literature DB >> 11079980

Medical document anonymization with a semantic lexicon.

P Ruch¹, R H Baud, A M Rassinoux, P Bouillon, G Robert.

Abstract

We present an original system for locating and removing personally-identifying information in patient records. In this experiment, anonymization is seen as a particular case of knowledge extraction. We use natural language processing tools provided by the MEDTAG framework: a semantic lexicon specialized in medicine, and a toolkit for word-sense and morpho-syntactic tagging. The system finds 98-99% of all personally-identifying information.

Entities: Species

Mesh：

Year: 2000 PMID： 11079980 PMCID： PMC2244050

Source DB: PubMed Journal: Proc AMIA Symp ISSN： 1531-605X

1 in total

1. MEDTAG: tag-like semantics for medical document indexing.

Authors: P Ruch; J Wagner; P Bouillon; R H Baud; A M Rassinoux; J R Scherrer
Journal: Proc AMIA Symp Date: 1999

1 in total

23 in total

1. A light knowledge model for linguistic applications.

Authors: R H Baud; C Lovis; P Ruch; A M Rassinoux
Journal: Proc AMIA Symp Date: 2001

2. A successful technique for removing names in pathology reports using an augmented search and replace method.

Authors: Sean M Thomas; Burke Mamlin; Gunther Schadow; Clement McDonald
Journal: Proc AMIA Symp Date: 2002

Review 3. Strategies for de-identification and anonymization of electronic health record data for use in multicenter research studies.

Authors: Clete A Kushida; Deborah A Nichols; Rik Jadrnicek; Ric Miller; James K Walsh; Kara Griffin
Journal: Med Care Date: 2012-07 Impact factor: 2.983

Medical document anonymization with a semantic lexicon.

1. MEDTAG: tag-like semantics for medical document indexing.

1. A light knowledge model for linguistic applications.

2. A successful technique for removing names in pathology reports using an augmented search and replace method.

Review 3. Strategies for de-identification and anonymization of electronic health record data for use in multicenter research studies.

4. Using a pipeline to improve de-identification performance.

5. A secure protocol to distribute unlinkable health data.

6. State-of-the-art anonymization of medical records using an iterative machine learning framework.

7. Evaluating the state-of-the-art in automatic de-identification.

8. From episodes of care to diagnosis codes: automatic text categorization for medico-economic encoding.

9. Leveraging existing corpora for de-identification of psychiatric notes using domain adaptation.

10. Building a best-in-class automated de-identification tool for electronic health records through ensemble learning.