Fig. 1From: pyMeSHSim: an integrative python package for biomedical named entity recognition, normalization, and comparison of MeSH termsThe components and workflow of pyMeSHSim. pyMeSHSim consists of three subpackages, including metamapWrap, data and Sim. In bio-NE recognition, metamapWarp curates the UMLS concepts from free text. In bio-NE normalization, data translates UMLS concepts to MeSH terms, and maps SCRs to MHs using selected records and relationships between records in MeSH. In bio-NEs comparison, Sim uses IC-based and graph-based methods to measure semantic similarity between two bio-NEsBack to article page