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Learning relevance models for patient cohort retrieval

OBJECTIVE: We explored how judgements provided by physicians can be used to learn relevance models that enhance the quality of patient cohorts retrieved from Electronic Health Records (EHRs) collections. METHODS: A very large number of features were extracted from patient cohort descriptions as well...

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Bibliographische Detailangaben
Veröffentlicht in:JAMIA Open
Hauptverfasser: Goodwin, Travis R, Harabagiu, Sanda M
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2018
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6241510/
https://ncbi.nlm.nih.gov/pubmed/30474078
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamiaopen/ooy010
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