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Training a Convolutional Neural Network with Terminology Summarization Data Improves SNOMED CT Enrichment

As a step toward learning to automatically insert new concepts into a large biomedical ontology, we are studying the easier problem of automatically verifying that an IS-A link should exist between a new child concept and an existing parent concept. We are using a Convolutional Neural Network, a pow...

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Vydáno v:AMIA Annu Symp Proc
Hlavní autoři: Zheng, Ling, Liu, Hao, Perl, Yehoshua, Geller, James
Médium: Artigo
Jazyk:Inglês
Vydáno: American Medical Informatics Association 2020
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7153126/
https://ncbi.nlm.nih.gov/pubmed/32308894
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