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Leveraging non-lattice subgraphs for suggestion of new concepts for SNOMED CT.

, , , and . BIBM, page 1805-1812. IEEE, (2021)

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A Hybrid Method to Detect Missing Hierarchical Relations in NCI Thesaurus., , and . BIBM, page 1948-1953. IEEE, (2019)Pattern-based Extraction of Disease Drug Combination Knowledge from Biomedical Literature., , , and . ICHI, page 1-7. IEEE, (2019)Exploring Deep Learning-based Approaches for Predicting Concept Names in SNOMED CT., and . BIBM, page 808-813. IEEE Computer Society, (2018)Leveraging non-lattice subgraphs for suggestion of new concepts for SNOMED CT., , , and . BIBM, page 1805-1812. IEEE, (2021)A Lexical Approach to Identifying Subtype Inconsistencies in Biomedical Terminologies., , , , and . BIBM, page 1982-1989. IEEE Computer Society, (2018)Leveraging logical definitions and lexical features to detect missing IS-A relations in biomedical terminologies., , , , and . J. Biomed. Semant., 15 (1): 6 (December 2024)Identification of missing concepts in biomedical terminologies using sequence-based formal concept analysis., , and . BMC Medical Informatics Decis. Mak., 21-S (7): 234 (2021)A lexical-based approach for exhaustive detection of missing hierarchical IS-A relations in SNOMED CT., , and . AMIA, AMIA, (2020)A Comparison of Exhaustive and Non-lattice-based Methods for Auditing Hierarchical Relations in Gene Ontology., , and . AMIA, AMIA, (2021)Beware the Black-Box of Medical Image Generation: an Uncertainty Analysis by the Learned Feature Space., , , , , , and . EMBC, page 3849-3853. IEEE, (2022)