Limited parsing of notational text visit notes: ad-hoc vs. NLP approaches.
about
Identifying influenza-like illness presentation from unstructured general practice clinical narrative using a text classifier rule-based expert system versus a clinical expert.Exploring the ability of natural language processing to extract data from nursing narratives.Evaluation of Computerized Free Text Sign-Out Notes: Baseline Understanding and RecommendationsConcept-value pair extraction from semi-structured clinical narrative: a case study using echocardiogram reportsSupporting information retrieval from electronic health records: A report of University of Michigan's nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE)Repurposing the clinical record: can an existing natural language processing system de-identify clinical notes?An unsupervised machine learning approach to segmentation of clinician-entered free textUsing regular expressions to extract information on pacemaker implantation procedures from clinical reports.Using natural language processing to improve accuracy of automated notifiable disease reporting.A systematic literature review of automated clinical coding and classification systemsComputer-facilitated review of electronic medical records reliably identifies emergency department interventions in older adults.Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine.Natural language processing to extract follow-up provider information from hospital discharge summaries.
P2860
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P2860
Limited parsing of notational text visit notes: ad-hoc vs. NLP approaches.
description
2000 nî lūn-bûn
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2000年の論文
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2000年論文
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2000年論文
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2000年論文
@zh-hk
2000年論文
@zh-mo
2000年論文
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2000年论文
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2000年论文
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2000年论文
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name
Limited parsing of notational text visit notes: ad-hoc vs. NLP approaches.
@en
type
label
Limited parsing of notational text visit notes: ad-hoc vs. NLP approaches.
@en
prefLabel
Limited parsing of notational text visit notes: ad-hoc vs. NLP approaches.
@en
P2093
P2860
P1476
Limited parsing of notational text visit notes: ad-hoc vs. NLP approaches
@en
P2093
C Friedman
R C Barrows Jr
P2860
P577
2000-01-01T00:00:00Z