Expanding a radiology lexicon using contextual patterns in radiology reports

Creative Commons License

Percha B., Zhang Y., Bozkurt S., Rubin D., Altman R. B., Langlotz C. P.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, cilt.25, sa.6, ss.679-685, 2018 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 25 Sayı: 6
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1093/jamia/ocx152
  • Dergi Adı: JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
  • Sayfa Sayıları: ss.679-685
  • Anahtar Kelimeler: text mining, radiology, lexicons, ontologies, natural language processing, EXTRACTION, KNOWLEDGE, SYSTEM, NAMES
  • Akdeniz Üniversitesi Adresli: Hayır

Özet

Objective: Distributional semantics algorithms, which learn vector space representations of words and phrases from large corpora, identify related terms based on contextual usage patterns. We hypothesize that distributional semantics can speed up lexicon expansion in a clinical domain, radiology, by unearthing synonyms from the corpus.