Characterizing Treatment Strategies of Intrahepatic Bile Duct Cancer by Literature Mining

Hongmei Guo, Ning Zhang, Na Hong, Lixia Yao, Wenfei Duan, Zhixiong Zhang

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

Abstract

Scientific literature is arguably the most objective, comprehensive and timely data source of medical knowledge discovery and evidence based medicine, as the significant clinical outcomes are often reported in a timely fashion in scientific journals. In this project, we proposed a text mining method for acquiring treatment strategies of intrahepatic bile duct cancer from PubMed abstracts. Treatment related concepts including therapeutic procedures, medications, genes and medical devices were systematically extracted and analyzed. A term co-occurrence network was generated to identify the main topics of the latest research on treatment of intrahepatic bile duct cancer. The treatment relations about 4 groups of different concepts, including Therapeutic Procedure, Medication, Care Activity, and Medical Device, were identified and demonstrated. Our study showed that the automatic treatment strategies extraction from literature with a small amount of physicians' verification added is a feasible solution to quickly characterize the overall treatment research progress.

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.
Pages43-48
Number of pages6
ISBN (Electronic)9781538667774
DOIs
StatePublished - Jul 16 2018
Externally publishedYes
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

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Keywords

  • iCCA
  • intrahepatic bile duct cancer
  • intrahepatic cholangiocarcinoma
  • relation extraction
  • text mining
  • treatment

ASJC Scopus subject areas

  • Information Systems and Management
  • Health Informatics

Cite this

Guo, H., Zhang, N., Hong, N., Yao, L., Duan, W., & Zhang, Z. (2018). Characterizing Treatment Strategies of Intrahepatic Bile Duct Cancer by Literature Mining. In Proceedings - 2018 IEEE International Conference on Healthcare Informatics Workshops, ICHI-W 2018 (pp. 43-48). [8411679] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICHI-W.2018.00013