An Interaction Embedded Framework for Healthcare Search

Yang Song, Yuling Sun, Qinmin Hu, Liang He

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

People without medical background usually seek health information from Web search engines using queries with the circumlocutory style, such as a description of observations, instead of professional symptoms or medical terms. However, the existing commercial search engines performs better on professional terms than the nonprofessional ones. Therefore, we propose an interaction-embedded framework for healthcare search to fit this gap. First, we absorb the MeSH and Wikipedia data as the knowledge resources to translate the circumlocutory queries into medical related terminologies. Then, we embed the user interaction into the search process to better capture users' intents. Finally, we perform a series of experiments on the TREC and CLEF eHealth collections for evaluation purpose. The experimental results show that our proposed framework are promising and outperforms the traditional retrieval algorithms.

Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018
EditorsJean-Paul Barthes, Haibin Zhu, Junzhou Luo, Weiming Shen, Jinghui Zhang, Fang Dong
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages648-653
Number of pages6
ISBN (Print)9781538614822
DOIs
StatePublished - 13 Sep 2018
Event22nd IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018 - Nanjing, China
Duration: 9 May 201811 May 2018

Publication series

NameProceedings of the 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018

Conference

Conference22nd IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018
Country/TerritoryChina
CityNanjing
Period9/05/1811/05/18

Keywords

  • Circumlocution
  • Framework
  • Healthcare
  • Human Interaction
  • Information Retrieval

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