Using automatically extracted information from mammography reports for decision-support

Bozkurt S., Gimenez F., Burnside E. S., GÜLKESEN K. H., Rubin D. L.

JOURNAL OF BIOMEDICAL INFORMATICS, cilt.62, ss.224-231, 2016 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 62
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1016/j.jbi.2016.07.001
  • Dergi Adı: JOURNAL OF BIOMEDICAL INFORMATICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.224-231
  • Anahtar Kelimeler: Breast Imaging Reporting and Data System (BI-RADS), Information extraction, Natural language processing, Decision support systems, BAYESIAN NETWORK, RADIOLOGY REPORTS, CLASSIFICATION ALGORITHMS, SCREENING MAMMOGRAPHY, CLINICAL-DATA, LANGUAGE, VARIABILITY, SYSTEM, ACCURACY, MICROCALCIFICATIONS
  • Akdeniz Üniversitesi Adresli: Evet

Özet

Objective: To evaluate a system we developed that connects natural language processing (NLP) for information extraction from narrative text mammography reports with a Bayesian network for decision support about breast cancer diagnosis. The ultimate goal of this system is to provide decision support as part of the workflow of producing the radiology report.