Paper Info
Title
Retrieval of Semantically Similar Healthcare Questions in Healthcare Forums.
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.
Year
DOI
Venue
2015
10.1109/ICHI.2015.97
ICHI
Keywords
Field
DocType
healthcare forum, question answering, information retrieval
Health care,Resource management,Latent Dirichlet allocation,Question answering,Information retrieval,Ranking,Unified Modeling Language,Computer science,Unified Medical Language System,Semantics
Conference
Citations 
PageRank 
References 
1
0.39
3
Authors
5
Name
Order
Citations
PageRank
Yanshan Wang14719.00
Saeed Mehrabi2332.96
Majid Rastegar-Mojarad39617.23
Dingcheng Li422728.21
Hongfang Liu51479160.66