A vector-based semantic relatedness measure using multiple relations within SNOMED CT and UMLS.

Journal: Journal of biomedical informatics
Published Date:

Abstract

OBJECTIVE: To propose a new vector-based relatedness metric that derives word vectors from the intrinsic structure of biomedical ontologies, without consulting external resources such as large-scale biomedical corpora.

Authors

  • Eunsuk Chang
    Carolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: chang.eunsuk.dr@gmail.com.