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Deep Learning Meets Biomedical Ontologies: Knowledge Embeddings for Epilepsy
2018
AMIA Annual Symposium Proceedings
While biomedical ontologies have traditionally been used to guide the identification of concepts or relations in biomedical data, recent advances in deep learning are able to capture high-quality knowledge from textual data and represent it in graphical structures. As opposed to the top-down methodology used in the generation of ontologies, which starts with the principled design of the upper ontology, the bottom-up methodology enabled by deep learning encodes the likelihood that concepts share
pmid:29854192
pmcid:PMC5977726
fatcat:aoxf3j37qjbelnodrjmmqqqavi