Retrieval of Semantically Similar Healthcare Questions in Healthcare Forums

Yanshan Wang, Saeed Mehrabi, Majid Rastegar Mojarad, Dingcheng Li, Hongfang Liu

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

2 Scopus citations

Abstract

Healthcare forums are popular platforms for patients to communicate with other patients who have similar conditions. Retrieving similar post to a user's question is valuable as the question might have been already answered in similar threads. ICHI 2015 organized a challenge with a corpus of ninety-five selected questions and a query set of ten questions from various diabetes related online forums. The task in this challenge is that given the corpus, a system should be developed to generate the most three similar questions for each question in the query set. In order to accomplish the challenge, we utilized Elastic search to built and search an index based on tokens, UMLS concepts, and semantic types, and finally combined the ranking results with LDI, a Latent Dirichlet Allocation (LDA) based ranking method. The experimental results showed that a mean average precision of 0.72 was achieved on the manually created gold standard.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages517-518
Number of pages2
ISBN (Print)9781467395489
DOIs
StatePublished - Dec 8 2015
Event3rd IEEE International Conference on Healthcare Informatics, ICHI 2015 - Dallas, United States
Duration: Oct 21 2015Oct 23 2015

Other

Other3rd IEEE International Conference on Healthcare Informatics, ICHI 2015
CountryUnited States
CityDallas
Period10/21/1510/23/15

Keywords

  • healthcare forum
  • information retrieval
  • question answering

ASJC Scopus subject areas

  • Health Informatics

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