Assessing the similarity of surface linguistic features related to epilepsy across pediatric hospitals.
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Trends in biomedical informatics: automated topic analysis of JAMIA articlesNatural Language Processing for Cohort Discovery in a Discharge Prediction Model for the Neonatal ICUWill they participate? Predicting patients' response to clinical trial invitations in a pediatric emergency department.Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes.
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Assessing the similarity of surface linguistic features related to epilepsy across pediatric hospitals.
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Assessing the similarity of su ...... sy across pediatric hospitals.
@ast
Assessing the similarity of su ...... sy across pediatric hospitals.
@en
Assessing the similarity of su ...... sy across pediatric hospitals.
@nl
type
label
Assessing the similarity of su ...... sy across pediatric hospitals.
@ast
Assessing the similarity of su ...... sy across pediatric hospitals.
@en
Assessing the similarity of su ...... sy across pediatric hospitals.
@nl
prefLabel
Assessing the similarity of su ...... sy across pediatric hospitals.
@ast
Assessing the similarity of su ...... sy across pediatric hospitals.
@en
Assessing the similarity of su ...... sy across pediatric hospitals.
@nl
P2093
P2860
P1476
Assessing the similarity of su ...... sy across pediatric hospitals.
@en
P2093
Brian Connolly
Dennis J Dlugos
John Pestian
K Bretonnel Cohen
Pawel Matykiewicz
Shannon M Standridge
Tracy A Glauser
P2860
P304
P356
10.1136/AMIAJNL-2013-002601
P577
2014-04-01T00:00:00Z