A controlled trial of automated classification of negation from clinical notes.
about
Identifying influenza-like illness presentation from unstructured general practice clinical narrative using a text classifier rule-based expert system versus a clinical expert.Negated bio-events: analysis and identificationNegative findings in electronic health records and biomedical ontologies: a realist approach.The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopesTracking medical students' clinical experiences using natural language processingWhat can natural language processing do for clinical decision support?Evaluation of a method to identify and categorize section headers in clinical documentsBiomedical negation scope detection with conditional random fields.Leveraging Food and Drug Administration Adverse Event Reports for the Automated Monitoring of Electronic Health Records in a Pediatric HospitalData from clinical notes: a perspective on the tension between structure and flexible documentation.BioNØT: a searchable database of biomedical negated sentences.Extracting timing and status descriptors for colonoscopy testing from electronic medical records.Negation's not solved: generalizability versus optimizability in clinical natural language processing.ContextD: an algorithm to identify contextual properties of medical terms in a Dutch clinical corpusThe Use of Automated SNOMED CT Clinical Coding in Clinical Decision Support Systems for Preventive CareA novel hybrid approach to automated negation detection in clinical radiology reports.Hedging their mets: the use of uncertainty terms in clinical documents and its potential implications when sharing the documents with patientsMachine learning and rule-based approaches to assertion classificationIdentifying QT prolongation from ECG impressions using a general-purpose Natural Language Processor.ConText: an algorithm for determining negation, experiencer, and temporal status from clinical reports.Extending the NegEx lexicon for multiple languages.Development of automated detection of radiology reports citing adrenal findingsDocument-level classification of CT pulmonary angiography reports based on an extension of the ConText algorithm.MITRE system for clinical assertion status classificationSyntactical negation detection in clinical practice guidelines.Negation detection in Swedish clinical text: An adaption of NegEx to Swedish.DEEPEN: A negation detection system for clinical text incorporating dependency relation into NegEx.Analysis of False Positive Errors of an Acute Respiratory Infection Text Classifier due to Contextual FeaturesDependency Parser-based Negation Detection in Clinical Narratives.NegAIT: A new parser for medical text simplification using morphological, sentential and double negation.A machine-learning approach to negation and speculation detection for sentiment analysisA Biomedical Research Permissions Ontology: Cognitive and Knowledge Representation Considerations
P2860
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P2860
A controlled trial of automated classification of negation from clinical notes.
description
2005 nî lūn-bûn
@nan
2005 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
A controlled trial of automated classification of negation from clinical notes
@nl
A controlled trial of automated classification of negation from clinical notes.
@ast
A controlled trial of automated classification of negation from clinical notes.
@en
type
label
A controlled trial of automated classification of negation from clinical notes
@nl
A controlled trial of automated classification of negation from clinical notes.
@ast
A controlled trial of automated classification of negation from clinical notes.
@en
prefLabel
A controlled trial of automated classification of negation from clinical notes
@nl
A controlled trial of automated classification of negation from clinical notes.
@ast
A controlled trial of automated classification of negation from clinical notes.
@en
P2093
P2860
P356
P1476
A controlled trial of automated classification of negation from clinical notes.
@en
P2093
Brent A Bauer
Casey S Husser
Dietlind L Wahner-Roedler
Larry R Bergstrom
Peter L Elkin
Steven H Brown
William Carruth
P2860
P2888
P356
10.1186/1472-6947-5-13
P407
P577
2005-05-05T00:00:00Z
P5875
P6179
1033445100