Concept-match medical data scrubbing. How pathology text can be used in research.
about
Automated de-identification of free-text medical records.Doublet method for very fast autocodingResources for comparing the speed and performance of medical autocodersA tool for sharing annotated research data: the "Category 0" UMLS (Unified Medical Language System) vocabulariesDevelopment and evaluation of an open source software tool for deidentification of pathology reports.De-identification of primary care electronic medical records free-text data in Ontario, CanadaUsing a pipeline to improve de-identification performance.Automatic de-identification of textual documents in the electronic health record: a review of recent research.Evaluating current automatic de-identification methods with Veteran's health administration clinical documents.Effects of personal identifier resynthesis on clinical text de-identification.De-identification of Address, Date, and Alphanumeric Identifiers in Narrative Clinical Reports.Strategies for maintaining patient privacy in i2b2.A de-identifier for medical discharge summaries.Large-scale evaluation of automated clinical note de-identification and its impact on information extraction.A software tool for removing patient identifying information from clinical documents.Toward a fully de-identified biomedical information warehouse.Evaluating the effects of machine pre-annotation and an interactive annotation interface on manual de-identification of clinical textA cascaded approach for Chinese clinical text de-identification with less annotation effort.
P2860
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P2860
Concept-match medical data scrubbing. How pathology text can be used in research.
description
2003 nî lūn-bûn
@nan
2003 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
Concept-match medical data scrubbing. How pathology text can be used in research.
@ast
Concept-match medical data scrubbing. How pathology text can be used in research.
@en
type
label
Concept-match medical data scrubbing. How pathology text can be used in research.
@ast
Concept-match medical data scrubbing. How pathology text can be used in research.
@en
prefLabel
Concept-match medical data scrubbing. How pathology text can be used in research.
@ast
Concept-match medical data scrubbing. How pathology text can be used in research.
@en
P1476
Concept-match medical data scrubbing. How pathology text can be used in research.
@en
P2093
Jules J Berman
P304
P356
10.1043/1543-2165(2003)127<680:CMDS>2.0.CO;2
P577
2003-06-01T00:00:00Z