Automatic de-identification of electronic medical records using token-level and character-level conditional random fields

Research article (Journal of Biomedical Informatics, 2015) · cited 87× · AI/ML
Press Enter · cited answer in seconds

Automatic de-identification of electronic medical records using token-level and character-level conditional random fields

Summary

Automatic de-identification of electronic medical records using token-level and character-level conditional random fields is a scholarly article[1].

Key Facts

  • Automatic de-identification of electronic medical records using token-level and character-level conditional random fields's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Automatic de-identification of electronic medical records using token-level and character-level conditional random fields. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-de-identification-of-electronic-medical-records-using-token-level-and-character-level-conditional-random-field
MLA “Automatic de-identification of electronic medical records using token-level and character-level conditional random fields.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-de-identification-of-electronic-medical-records-using-token-level-and-character-level-conditional-random-field.
BibTeX @misc{4ortxyz_automatic-de-identification-of-electronic-medical-records-using-token-level-and-character-level-conditional-random-field_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic de-identification of electronic medical records using token-level and character-level conditional random fields}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-de-identification-of-electronic-medical-records-using-token-level-and-character-level-conditional-random-field}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic de-identification of electronic medical records using token-level and character-level conditional random fields — https://4ort.xyz/entity/automatic-de-identification-of-electronic-medical-records-using-token-level-and-character-level-conditional-random-field (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/automatic-de-identification-of-electronic-medical-records-using-token-level-and-character-level-conditional-random-field · Last refreshed: