Automatic de-identification of textual documents in the electronic health record: a review of recent research.
about
Extracting information from the text of electronic medical records to improve case detection: a systematic reviewMining electronic health records: towards better research applications and clinical careAutomated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1Genomics and privacy: implications of the new reality of closed data for the fieldWhat evidence is there for a delay in diagnostic coding of RA in UK general practice records? An observational study of free textOptimizing annotation resources for natural language de-identification via a game theoretic frameworkCRFs based de-identification of medical recordsAutomatic de-identification of electronic medical records using token-level and character-level conditional random fieldsRecent Advances in Clinical Natural Language Processing in Support of Semantic AnalysisThe pattern of name tokens in narrative clinical text and a comparison of five systems for redacting themDevelopment and evaluation of a de-identification procedure for a case register sourced from mental health electronic recordsSHARE: system design and case studies for statistical health information releaseBoB, a best-of-breed automated text de-identification system for VHA clinical documentsGeneralizability and comparison of automatic clinical text de-identification methods and resourcesMining the pharmacogenomics literature--a survey of the state of the artPreparing an annotated gold standard corpus to share with extramural investigators for de-identification researchGenetic data sharing and privacy.Piloting a deceased subject integrated data repository and protecting privacy of relatives.Advancing the Use of Administrative Data for Emergency Department Diagnostic Imaging Research.Screening Consolidated Clinical Document Architecture (CCDA) Documents for Sensitive Data Using a Rule-Based Decision Support System.Effect and maintenance of the SLIMMER diabetes prevention lifestyle intervention in Dutch primary healthcare: a randomised controlled trialA context-blocks model for identifying clinical relationships in patient records.Evaluating current automatic de-identification methods with Veteran's health administration clinical documents.De-identification of clinical narratives through writing complexity measures.Managing protected health information in distributed research network environments: automated review to facilitate collaboration.Improved de-identification of physician notes through integrative modeling of both public and private medical text.Methods for the de-identification of electronic health records for genomic researchDe-identification of Address, Date, and Alphanumeric Identifiers in Narrative Clinical Reports.Strategies for maintaining patient privacy in i2b2.Attribute Utility Motivated k-anonymization of datasets to support the heterogeneous needs of biomedical researchers.Challenges and Insights in Using HIPAA Privacy Rule for Clinical Text AnnotationP2P watch: personal health information detection in peer-to-peer file-sharing networksLearning to identify Protected Health Information by integrating knowledge- and data-driven algorithms: A case study on psychiatric evaluation notes.Evaluation of PHI Hunter in Natural Language Processing Research.Anonymisation of geographical distance matrices via Lipschitz embeddingLarge-scale evaluation of automated clinical note de-identification and its impact on information extraction.Hiding in plain sight: use of realistic surrogates to reduce exposure of protected health information in clinical text.Lessons Learned from Development of De-identification System for Biomedical Research in a Korean Tertiary HospitalLocation bias of identifiers in clinical narratives.Is the Juice Worth the Squeeze? Costs and Benefits of Multiple Human Annotators for Clinical Text De-identification.
P2860
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P2860
Automatic de-identification of textual documents in the electronic health record: a review of recent research.
description
2010 nî lūn-bûn
@nan
2010 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Automatic de-identification of ...... : a review of recent research.
@ast
Automatic de-identification of ...... : a review of recent research.
@en
type
label
Automatic de-identification of ...... : a review of recent research.
@ast
Automatic de-identification of ...... : a review of recent research.
@en
prefLabel
Automatic de-identification of ...... : a review of recent research.
@ast
Automatic de-identification of ...... : a review of recent research.
@en
P2093
P2860
P921
P356
P1476
Automatic de-identification of ...... : a review of recent research.
@en
P2093
Brett R South
F Jeffrey Friedlin
Matthew H Samore
Shuying Shen
Stephane M Meystre
P2860
P2888
P356
10.1186/1471-2288-10-70
P577
2010-08-02T00:00:00Z
P5875
P6179
1021085360