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Aligning Pharmacologic Classes Between MeSH and ATC.

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Winnenburg R, Rodriguez L, Callaghan F, Sorbello A, Szarfman A, Bodenreider O
4th International Conference on Biomedical Ontology · ICBO 2013
Abstract: 

    Objective: To align pharmacologic classes in ATC and MeSH with lexical and instance-based techniques.

    Methods: Lexical alignment: we map the names of ATC classes to MeSH through the UMLS, leveraging normalization and additional synonymy. Instance-based alignment: we associate ATC and MeSH classes through the drugs they share, using the Jaccard coefficient to measure class-class similarity. We use a metric to distinguish between equivalence and inclusion mappings.

    Results: We found 221 lexical mappings, as well as 343 instance-based mappings, with a limited overlap (61). From the 343 instance-based mappings we classify 113 as equivalence mappings and 230 as inclusion mappings. A limited failure analysis is presented.

    Conclusion: Our instance-based approach to aligning pharmacologic classes has the prospect of effectively supporting the creation of a mapping of pharmacologic classes between ATC and MeSH. This exploratory investigation needs to be evaluated in order to adapt the thresholds for similarity.

Winnenburg R, Rodriguez L, Callaghan F, Sorbello A, Szarfman A, Bodenreider O. Aligning Pharmacologic Classes Between MeSH and ATC. 4th International Conference on Biomedical Ontology · ICBO 2013