Robert Cronin
Assistant Professor
Last active: 2/23/2018

Development of an ensemble resource linking MEDications to their Indications (MEDI).

Wei WQ, Cronin RM, Xu H, Lasko TA, Bastarache L, Denny JC
AMIA Jt Summits Transl Sci Proc. 2013 2013: 172

PMID: 24303333 · PMCID: PMC3814470

Understanding of medications-disease relationships is critical to distinguish indications from adverse effects, and medication exposures serve as important markers of disease and severity in electronic medical records (EMR). We created a computable medication-indication (MEDI) resource by applying natural language processing and ontology relationships to four public medication resources. Physicians evaluated accuracy of medication-indication relationships. MEDI contained 3,112 medications and 63,343 medication-indication pairs derived from the four resources, whose precisions varied from 56-94%. The MEDI high precision subset (MEDI-HPS) includes indications found within either RxNorm or ≥2 resources and had an estimated precision of 92%. MEDI-HPS contains 13,304 unique indication pairs for 2,136 medications. MEDI is a free, computable resource that links medications with their indications as represented by formal concepts and may assist clinical and research uses of EMR data.

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