henhaobio
Sign in

bioRxivBioinformaticsPreprint

WikiMedMap: Expanding the Phenotyping Mapping Toolbox Using Wikipedia

Lina Mahmoud SuliemaniD, Patrick WuiD, Joshua C. DennyiD, Lisa A. BastaracheiD

PDFDOI

Abstract

Researchers utilizing phenotypic data from diverse sources require matching of phenotypes to standard clinical vocabularies. Mapping phenotypes to vocabulary can be difficult, as existing tools are often incomplete, can be difficult to access, and can be cumbersome to use, especially for non-experts. We created WikiMedMap as a simple tool that leverages Wikipedia and maps phenotype strings to standard clinical vocabularies. We assessed WikiMedMap by mapping phenotype strings from questionnaires in the UK Biobank and from Mendelian diseases in Online Mendelian Inheritance in Man (OMIM) database to eight vocabularies: International Classification of Diseases, Ninth Revision (ICD-9), ICD-10, ICD-O, Medical Subject Headings (MeSH), OMIM, Disease Database, and MedlinePlus. WikiMedMap outperformed conventional mapping tools in finding potential matches for phenotype strings. We envision WikiMedMap as a technique that complements existing and established tools to map strings to clinical vocabularies that usually do not coexist in one source.

Citations
2

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISWu '19Hombach '18Liao '19Waagmeester '20Deisseroth '18Liu '23
55% semantic matchBioinformatics
Patrick Wu, Aliya Gifford, Xiangrui Meng+9 more·JMIR Medical Informatics·Nov 29, 2019· 517 citations