An Interaction Embedded Framework for Healthcare Search

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 professi...

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Bibliographic Details
Published in2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design ((CSCWD)) pp. 347 - 352
Main Authors Song, Yang, Sun, Yuling, Hu, Qinmin, He, Liang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2018
Subjects
Circumlocution
Diseases
Encyclopedias
Framework
Healthcare
Human Interaction
Information Retrieval
Internet
Medical diagnostic imaging
Terminology
Web search
Online AccessGet full text
DOI10.1109/CSCWD.2018.8465267

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Summary: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.
DOI:10.1109/CSCWD.2018.8465267