Automatic Extraction of Major Osteoporotic Fractures from Radiology Reports using Natural Language Processing

Yanshan Wang, Saeed Mehrabi, Sunghwan Sohn, Elizabeth Atkinson, Shreyasee Amin, Hongfang D Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this study, we developed a rule-based natural language processing (NLP) algorithm for automatic extraction of six major osteoporotic fractures from radiology reports. We validated the NLP algorithm using a dataset of radiology reports from Mayo Clinic with the gold standard constructed by medical experts. The micro-Averaged sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and F1-score of the proposed NLP algorithm are 0.796, 0.978, 0.972, 0.831, 0.874, respectively. The highest F1-score was achieved at 0.958 for the extraction of proximal femur fracture while the lowest was 0.821 for the hand and finger/wrists fracture. The experimental results verified the effectiveness of the proposed rule-based NLP algorithm in the automatic extraction of major osteoporotic fractures from radiology reports.

Original languageEnglish (US)
Title of host publicationProceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages64-65
Number of pages2
ISBN (Electronic)9781538667774
DOIs
StatePublished - Jul 16 2018
Event6th IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018 - New York, United States
Duration: Jun 4 2018Jun 7 2018

Other

Other6th IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018
CountryUnited States
CityNew York
Period6/4/186/7/18

Fingerprint

Natural Language Processing
Osteoporotic Fractures
Radiology
Wrist
Femur
Fingers
Hand
Sensitivity and Specificity
Natural language processing
Rule-based

Keywords

  • fracture
  • natural language processing
  • osteoporosis
  • radiology report

ASJC Scopus subject areas

  • Information Systems and Management
  • Health Informatics

Cite this

Wang, Y., Mehrabi, S., Sohn, S., Atkinson, E., Amin, S., & Liu, H. D. (2018). Automatic Extraction of Major Osteoporotic Fractures from Radiology Reports using Natural Language Processing. In Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018 (pp. 64-65). [8411807] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICHI-W.2018.00021

Automatic Extraction of Major Osteoporotic Fractures from Radiology Reports using Natural Language Processing. / Wang, Yanshan; Mehrabi, Saeed; Sohn, Sunghwan; Atkinson, Elizabeth; Amin, Shreyasee; Liu, Hongfang D.

Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 64-65 8411807.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wang, Y, Mehrabi, S, Sohn, S, Atkinson, E, Amin, S & Liu, HD 2018, Automatic Extraction of Major Osteoporotic Fractures from Radiology Reports using Natural Language Processing. in Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018., 8411807, Institute of Electrical and Electronics Engineers Inc., pp. 64-65, 6th IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018, New York, United States, 6/4/18. https://doi.org/10.1109/ICHI-W.2018.00021
Wang Y, Mehrabi S, Sohn S, Atkinson E, Amin S, Liu HD. Automatic Extraction of Major Osteoporotic Fractures from Radiology Reports using Natural Language Processing. In Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 64-65. 8411807 https://doi.org/10.1109/ICHI-W.2018.00021
Wang, Yanshan ; Mehrabi, Saeed ; Sohn, Sunghwan ; Atkinson, Elizabeth ; Amin, Shreyasee ; Liu, Hongfang D. / Automatic Extraction of Major Osteoporotic Fractures from Radiology Reports using Natural Language Processing. Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 64-65
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