Finding falls in ambulatory care clinical documents using statistical text mining
about
A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data.Stratification of risk for hospital admissions for injury related to fall: cohort studyClassification of radiology reports for falls in an HIV study cohort.Automated extraction of the Barthel Index from clinical texts.TagLine: Information Extraction for Semi-Structured Text in Medical Progress Notes.Automatic health record review to help prioritize gravely ill Social Security disability applicants.Factors influencing the development of primary care data collection projects from electronic health records: a systematic review of the literature.Clinical Informatics Researcher's Desiderata for the Data Content of the Next Generation Electronic Health Record.What Can We Learn about Fall Risk Factors from EHR Nursing Notes? A Text Mining Study
P2860
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P2860
Finding falls in ambulatory care clinical documents using statistical text mining
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 15 December 2012
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Finding falls in ambulatory care clinical documents using statistical text mining
@en
Finding falls in ambulatory care clinical documents using statistical text mining.
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type
label
Finding falls in ambulatory care clinical documents using statistical text mining
@en
Finding falls in ambulatory care clinical documents using statistical text mining.
@nl
prefLabel
Finding falls in ambulatory care clinical documents using statistical text mining
@en
Finding falls in ambulatory care clinical documents using statistical text mining.
@nl
P2093
P2860
P1476
Finding falls in ambulatory care clinical documents using statistical text mining
@en
P2093
Dezon K Finch
Donald J Berndt
James A McCart
Jay Jarman
Stephen L Luther
P2860
P304
P356
10.1136/AMIAJNL-2012-001334
P577
2012-12-15T00:00:00Z