Bridging the Vocabulary Gap between Health Seekers and Healthcare Knowledge
Abstract— Bridging the Vocabulary Gap between Health Seekers and Healthcare Knowledge. The vocabulary gap between health seekers and providers has hindered the cross-system operability and the inter-user < Final Year Projects 2016 > reusability. To bridge this gap, this paper presents a novel scheme to code the medical records by jointly utilizing local mining and global learning approaches, which are tightly linked and mutually reinforced. Local mining attempts to code the individual medical record by independently extracting the medical concepts from the medical record itself and then mapping them to authenticated terminologies. A corpus-aware terminology vocabulary is naturally constructed as a byproduct, which is used as the terminology space for global learning. Local mining approach, however, may suffer from information loss and lower precision, which are caused by the absence of key medical concepts and the presence of irrelevant medical concepts.
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