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Search and Graph Database Technologies for Biomedical Semantic Indexing: Experimental Analysis.

Isabel Segura-BedmarPaloma MartínezAdrián Carruana Martín
Published in: JMIR medical informatics (2017)
To the best of our knowledge, this is the first work that combines search and graph database technologies for the task of biomedical semantic indexing. Due to its horizontal scalability, ElasticSearch becomes a real solution to index large collections of documents (such as the bibliographic database MEDLINE). Moreover, the use of graph search algorithms for accessing MeSH information could provide a support tool for cataloging MEDLINE abstracts in real time.
Keyphrases
  • convolutional neural network
  • adverse drug
  • machine learning
  • healthcare
  • deep learning
  • emergency department
  • health information