title: Medical Subject Headings (MeSH) for indexing and retrieving open-source healthcare data.
abstract: The US federal government initiated the Open Government Directive where federal agencies are required to publish high value datasets so that they are available to the public. Data.gov and the community site Healthdata.gov were initiated to disperse such datasets. However, data searches and retrieval for these sites are keyword driven and severely limited in performance. The purpose of this paper is to address the issue of extracting relevant open-source data by proposing a method of adopting the MeSH framework for indexing and data retrieval. A pilot study was conducted to compare the performance of traditional keywords to MeSH terms for retrieving relevant open-source datasets related to "mortality". The MeSH framework resulted in greater sensitivity with comparable specificity to the keyword search. MeSH showed promise as a method for indexing and retrieving data, yet future research should conduct a larger scale evaluation of the performance of the MeSH framework for retrieving relevant open-source healthcare datasets.
authors.affiliation: Institute for Health Informatics, University of Minnesota, Minneapolis, MN.
authors.forename: David T
authors.initials: DT
authors.lastname: Marc
authors.affiliation: Institute for Health Informatics, University of Minnesota, Minneapolis, MN.
authors.forename: Saif S
authors.initials: SS
authors.lastname: Khairat
mesh_terms: D000043:Abstracting and Indexing / Q000379:methods*; D057225:Data Mining / Q000379:methods*; D063005:Health Information Systems / Q000458:organization & administration*; D020407:Internet / Q000458:organization & administration*; D046650:Medical Subject Headings / Q000706:statistics & numerical data*; D009323:Natural Language Processing; D014481:United States