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Objective: We describe experiments designed to determine the feasibility of distinguishing known from novel associations based on a clinical dataset comprised ...
Jun 13, 2014 · Objective We describe experiments designed to determine the feasibility of distinguishing known from novel associations based on a clinical ...
Objective We describe experiments designed to determine the feasibility of distinguishing known from novel associations based on a clinical dataset ...
Description . Association p value derived from Clinical dataset . Clinically surprising? . Number of Medline citations with both concepts mentioned . Supporting
Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis ... Authors: David A Hanauer; Mohammed Saeed ...
Patients (clinical data)/citations (Medline data) in full dataset · Patients/citations included in final pairwise comparisons dataset · Distinct ICD-9 codes ; 1 ...
We describe experiments designed to determine the feasibility of distinguishing known from novel associations based on a clinical dataset comprised of ...
OBJECTIVE: We describe experiments designed to determine the feasibility of distinguishing known from novel associations based on a clinical dataset ...
Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis. ... Imaging & Computational Analysis ...
OBJECTIVE: We describe experiments designed to determine the feasibility of distinguishing known from novel associations based on a clinical dataset comprised ...