Name
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. |
Year | Venue | Keywords |
|---|---|---|
2000 | JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION | semantics,confidentiality,natural language processing,computer security |
Field | DocType | Issue |
Information retrieval,Confidentiality,Computer science,Semantic lexicon,Natural language processing,Artificial intelligence,Knowledge extraction,Semantics,Semantic computing | Conference | SUPnan |
ISSN | Citations | PageRank |
1067-5027 | 40 | 3.33 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| P Ruch | 1 | 650 | 38.72 |
| Robert H. Baud | 2 | 333 | 60.59 |
| A M Rassinoux | 3 | 40 | 3.33 |
| Pierrette Bouillon | 4 | 214 | 41.22 |
| G Robert | 5 | 55 | 4.33 |