title: A multi-part matching strategy for mapping LOINC with laboratory terminologies.
abstract: OBJECTIVE
  To address the problem of mapping local laboratory terminologies to Logical Observation Identifiers Names and Codes (LOINC). To study different ontology matching algorithms and investigate how the probability of term combinations in LOINC helps to increase match quality and reduce manual effort.
  
  
  METHODS
  We proposed two matching strategies: full name and multi-part. The multi-part approach also considers the occurrence probability of combined concept parts. It can further recommend possible combinations of concept parts to allow more local terms to be mapped. Three real-world laboratory databases from Taiwanese hospitals were used to validate the proposed strategies with respect to different quality measures and execution run time. A comparison with the commonly used tool, Regenstrief LOINC Mapping Assistant (RELMA) Lab Auto Mapper (LAM), was also carried out.
  
  
  RESULTS
  The new multi-part strategy yields the best match quality, with F-measure values between 89% and 96%. It can automatically match 70-85% of the laboratory terminologies to LOINC. The recommendation step can further propose mapping to (proposed) LOINC concepts for 9-20% of the local terminology concepts. On average, 91% of the local terminology concepts can be correctly mapped to existing or newly proposed LOINC concepts.
  
  
  CONCLUSIONS
  The mapping quality of the multi-part strategy is significantly better than that of LAM. It enables domain experts to perform LOINC matching with little manual work. The probability of term combinations proved to be a valuable strategy for increasing the quality of match results, providing recommendations for proposed LOINC conepts, and decreasing the run time for match processing.
authors.affiliation: Department of Computer Science, University of Leipzig, Leipzig, Germany Institute of Public Health, National Yang-Ming University, Taipei, Taiwan.
authors.forename: Li-Hui
authors.initials: LH
authors.lastname: Lee
authors.affiliation: Department of Computer Science, University of Leipzig, Leipzig, Germany Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany.
authors.forename: Anika
authors.initials: A
authors.lastname: Groß
authors.affiliation: Department of Computer Science, University of Leipzig, Leipzig, Germany Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany.
authors.forename: Michael
authors.initials: M
authors.lastname: Hartung
authors.affiliation: Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan.
authors.forename: Der-Ming
authors.initials: DM
authors.lastname: Liou
authors.affiliation: Department of Computer Science, University of Leipzig, Leipzig, Germany Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany.
authors.forename: Erhard
authors.initials: E
authors.lastname: Rahm
mesh_terms: D000465:Algorithms; D006801:Humans; D007753:Laboratories; D039703:Logical Observation Identifiers Names and Codes; D009323:Natural Language Processing; D009626:Terminology as Topic; D018875:Vocabulary, Controlled
keywords: LOINC; Ontology Matching; Pre-coordination; Probability; Translation