Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records

Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records

Abstract Background Capturing sentence semantics plays a vital role in a range of text mining applications. Despite continuous efforts on the development of related datasets and models in the general domain, both datasets and models are limited in biomedical and clinical domains. The BioCreative/OHN...

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Bibliographic Details
Main Authors: Qingyu Chen, Jingcheng Du, Sun Kim, W. John Wilbur, Zhiyong Lu
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Sentence similarity
Electronic medical records
Deep learning
Machine learning
Online Access:http://link.springer.com/article/10.1186/s12911-020-1044-0

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http://link.springer.com/article/10.1186/s12911-020-1044-0

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