"Data Anonymization" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Removal of personally identifiable information via encryption or other methods.
| Descriptor ID |
D000068240
|
| MeSH Number(s) |
H01.770.644.205 L01.224.134.500 N03.706.437.650.124.160 N04.452.910.200.500
|
| Concept/Terms |
|
Below are MeSH descriptors whose meaning is more general than "Data Anonymization".
Below are MeSH descriptors whose meaning is more specific than "Data Anonymization".
This graph shows the total number of publications written about "Data Anonymization" by people in this website by year, and whether "Data Anonymization" was a major or minor topic of these publications.
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click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2018 | 1 | 0 | 1 |
| 2019 | 1 | 0 | 1 |
| 2021 | 0 | 1 | 1 |
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Below are the most recent publications written about "Data Anonymization" by people in Profiles.
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Comparative Study of Various Approaches for Ensemble-based De-identification of Electronic Health Record Narratives. AMIA Annu Symp Proc. 2020; 2020:648-657.
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Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning Classifiers. Stud Health Technol Inform. 2019 Aug 21; 264:283-287.
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Ensemble-based Methods to Improve De-identification of Electronic Health Record Narratives. AMIA Annu Symp Proc. 2018; 2018:663-672.