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Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations., , , , , , , , and . CoRR, (2023)Measuring and Avoiding Information Loss During Concept Import from a Source to a Target Ontology., , and . KEOD, page 442-449. ScitePress, (2019)How Sustainable are Biomedical Ontologies?, , and . AMIA, AMIA, (2018)Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients., , , , , , , and . BMC Medical Informatics Decis. Mak., 23 (1): 40 (December 2023)Skimming of Electronic Health Records Highlighted by an Interface Terminology Curated with Machine Learning Mining., , , , , , , , and . BIOSTEC (2), page 498-505. SCITEPRESS, (2024)Conversational Bots for Psychotherapy: A Study of Generative Transformer Models Using Domain-specific Dialogues., , , , , , , , and . BioNLP@ACL, page 285-297. Association for Computational Linguistics, (2022)Extended Analysis of Topological-Pattern-Based Ontology Enrichment., , , and . BIBM, page 1641-1648. IEEE Computer Society, (2018)Extending import detection algorithms for concept import from two to three biomedical terminologies., , , and . BMC Medical Informatics Decis. Mak., 20-S (10): 272 (2020)Representing and utilizing clinical textual data for real world studies: An OHDSI approach., , , , , , , , , and 17 other author(s). J. Biomed. Informatics, (June 2023)Mining Concepts for a COVID Interface Terminology for Annotation of EHRs., , , , , , and . IEEE BigData, page 3753-3760. IEEE, (2020)