BoB, a best-of-breed automated text de-identification system for VHA clinical documents - Wikidata - awgldk - TriplyDB

BoB, a best-of-breed automated text de-identification system for VHA clinical documents

BoB, a best-of-breed automated text de-identification system for VHA clinical documents

http://www.wikidata.org/entity/Q28709508

about

Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1 Optimizing annotation resources for natural language de-identification via a game theoretic framework Combining knowledge- and data-driven methods for de-identification of clinical narratives Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis "Big data" and the electronic health record.De-identification of clinical narratives through writing complexity measures.Improved de-identification of physician notes through integrative modeling of both public and private medical text.De-identification of Address, Date, and Alphanumeric Identifiers in Narrative Clinical Reports.Evaluation of PHI Hunter in Natural Language Processing Research.Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives.Location bias of identifiers in clinical narratives.Evaluating the effects of machine pre-annotation and an interactive annotation interface on manual de-identification of clinical text Automatic detection of protected health information from clinic narratives.The UAB Informatics Institute and 2016 CEGS N-GRID de-identification shared task challenge.Scalable Iterative Classification for Sanitizing Large-Scale Datasets.Biomedical data privacy: problems, perspectives, and recent advances.

P2860

Q28085066-B2DDC464-273D-4C5C-A660-C6C492018FF1 Q28597276-0479B801-C0A0-4B62-B030-9425AA71A6DB Q28598184-0B2E0462-BD89-48A2-8FDB-84356BE2CF7D Q28607130-60DBD2B6-D05B-4721-9DA8-63C1D8042156 Q30842802-216CFD0B-F06C-4035-A214-31EF1A5CF24D Q34434532-9BE06808-8286-4EE3-80F1-F48CEA01B9C2 Q35003628-C2D389A0-D05F-4675-8656-D95327F1EA8B Q35570418-A3278CBD-79F7-484E-AE7C-2754A49581E2 Q36429186-D289BD6E-71B1-4E74-B070-09368BB344BE Q37129531-BBC4D45E-BFE2-4643-870E-5CCFBFB8C9F0 Q37508945-27AD3436-35E7-4882-B8F0-0B93B24B066C Q38214496-9925AA7A-2A45-4FE1-97FD-BD75833CBA4C Q38406923-189FA5EF-CB20-4137-9D5D-BDD97F7A0AFC Q38800393-8E4FA721-8844-426C-AE2C-9ECB2D675390 Q42692730-3A9303E4-10D0-4F94-9C1C-692AE05CB421 Q42988567-8472C033-AC1B-41DD-9E12-04B06DDCCD13

P2860

BoB, a best-of-breed automated text de-identification system for VHA clinical documents

http://www.wikidata.org/entity/Q28709508

description

2013 nî lūn-bûn

@nan

2013 թուականի Յունուարին հրատարակուած գիտական յօդուած

@hyw

2013 թվականի հունվարին հրատարակված գիտական հոդված

@hy

2013年の論文

@ja

2013年論文

@yue

2013年論文

@zh-hant

2013年論文

@zh-hk

2013年論文

@zh-mo

2013年論文

@zh-tw

2013年论文

@wuu

name

BoB, a best-of-breed automated text de-identification system for VHA clinical documents

@ast

BoB, a best-of-breed automated text de-identification system for VHA clinical documents

@en

BoB, a best-of-breed automated text de-identification system for VHA clinical documents

@nl

type

label

BoB, a best-of-breed automated text de-identification system for VHA clinical documents

@ast

BoB, a best-of-breed automated text de-identification system for VHA clinical documents

@en

BoB, a best-of-breed automated text de-identification system for VHA clinical documents

@nl

prefLabel

BoB, a best-of-breed automated text de-identification system for VHA clinical documents

@ast

BoB, a best-of-breed automated text de-identification system for VHA clinical documents

@en

BoB, a best-of-breed automated text de-identification system for VHA clinical documents

@nl

P1433

Q28709508-328352DE-D2CD-4A3A-85AC-A6E3A47F8688

P1476

Q28709508-7CCA608A-9B0F-4600-BA30-E1EC847E615C

P2093

Q28709508-6831176D-65C9-4414-89FC-2B50BD879A31

Q28709508-AC849DF9-6797-4D40-B555-CDE246B1C15F

Q28709508-CEB7609C-1961-47DA-813F-13FFCFB17C37

Q28709508-D32BF04A-ACAD-4593-8341-05076016F5E5

Q28709508-E076BE27-C0A0-43B7-8B0F-C06585AAE7FC

Q28709508-E2D92AD7-7362-4F9A-B7B6-F343D7EEA34C

P2860

Q28709508-0CACAF09-ADA5-4862-93DB-B1F296B78A76

Q28709508-0DCB9482-10A3-4A2A-B26C-5B720A1ADF1C

Q28709508-2B7B0D8C-9D4D-413D-8B5A-3CA1AD729D4A

Q28709508-2E0E0386-9683-475E-A608-5D0E829E2457

Q28709508-34A10C97-D79C-49B4-AB8A-FDDFB79DDC29

Q28709508-53C940D3-F6D2-46DD-9BAB-36285A5F8E10

Q28709508-55D793D8-A1F3-466D-B5A3-C2136350BF59

Q28709508-5FF11E7B-BC7C-4D0F-A19F-FC5996889824

Q28709508-6911579A-1C20-4F11-8BF5-B4E06D691512

Q28709508-710B2559-3847-4094-B200-B44D2F3D2A3C

P304

Q28709508-7B23D967-6997-4C93-B555-C49A3AEB9A1A

P31

Q28709508-2AC1F908-6D96-4947-8F93-A35E13BBB333

P356

Q28709508-C0A809F4-7093-4642-9538-F9BA3F6C7399

P407

Q28709508-505766BD-750C-4347-B27F-9428AEBC36ED

P433

Q28709508-97D696FD-8D1D-4F7A-82D6-3C3A003517A8

P478

Q28709508-E8BA6F58-5847-42F7-9D56-F75E7C341956

P577

Q28709508-B1E0FDF4-D0A7-4789-BCDA-D8D647E41482

P5875

Q28709508-8264D170-9B0F-477A-BB16-2FD15D8E78F7

P698

Q28709508-FB54DB68-9A73-4252-AD9C-C227EA7AD1AE

P921

Q28709508-9DFFCDD6-295B-4DBF-AD06-1911783F0C60

P932

Q28709508-38EBA585-56ED-4999-8045-78EAB63C14B7

P356

AMIAJNL-2012-001020

P1433

Journal of the American Medical Informatics Association

P1476

BoB, a best-of-breed automated text de-identification system for VHA clinical documents

@en

P2093

Brett R South

http://www.w3.org/2001/XMLSchema#string

F Jeffrey Friedlin

http://www.w3.org/2001/XMLSchema#string

Matthew H Samore

http://www.w3.org/2001/XMLSchema#string

Oscar Ferrández

http://www.w3.org/2001/XMLSchema#string

Shuying Shen

http://www.w3.org/2001/XMLSchema#string

Stéphane M Meystre

http://www.w3.org/2001/XMLSchema#string

P2860

Automated de-identification of free-text medical records.

Development and evaluation of an open source software tool for deidentification of pathology reports.

Automatic de-identification of textual documents in the electronic health record: a review of recent research.

A system for de-identifying medical message board text.

Evaluating current automatic de-identification methods with Veteran's health administration clinical documents.

Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications.

Effects of personal identifier resynthesis on clinical text de-identification.

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

A de-identifier for medical discharge summaries.

A software tool for removing patient identifying information from clinical documents.

P304

77-83

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1136/AMIAJNL-2012-001020

http://www.w3.org/2001/XMLSchema#string

P407

P433

1

http://www.w3.org/2001/XMLSchema#string

P478

20

http://www.w3.org/2001/XMLSchema#string

P577

2013-01-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

230796345

http://www.w3.org/2001/XMLSchema#string

P698

22947391

http://www.w3.org/2001/XMLSchema#string

P921

P932

3555325

http://www.w3.org/2001/XMLSchema#string