Use of semantic features to classify patient smoking status.
about
Development of phenotype algorithms using electronic medical records and incorporating natural language processing.Automated Extraction of Substance Use Information from Clinical TextsElectronic medical record phenotyping using the anchor and learn framework.Comparison of Three Information Sources for Smoking Information in Electronic Health RecordsInvestigating Longitudinal Tobacco Use Information from Social History and Clinical Notes in the Electronic Health Record.Automatically correlating clinical findings and body locations in radiology reports using MedLEE.Learning regular expressions for clinical text classification.
P2860
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P2860
Use of semantic features to classify patient smoking status.
description
2008 nî lūn-bûn
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name
Use of semantic features to classify patient smoking status.
@en
Use of semantic features to classify patient smoking status.
@nl
type
label
Use of semantic features to classify patient smoking status.
@en
Use of semantic features to classify patient smoking status.
@nl
prefLabel
Use of semantic features to classify patient smoking status.
@en
Use of semantic features to classify patient smoking status.
@nl
P2860
P1476
Use of semantic features to classify patient smoking status
@en
P2093
Noémie Elhadad
Peter D Stetson
P2860
P304
P577
2008-11-06T00:00:00Z