Enhancing web search in the medical domain via query clarification

@article{Soldaini2015EnhancingWS,
  title={Enhancing web search in the medical domain via query clarification},
  author={Luca Soldaini and Andrew Yates and Elad Yom-Tov and Ophir Frieder and Nazli Goharian},
  journal={Information Retrieval Journal},
  year={2015},
  volume={19},
  pages={149-173}
}
The majority of Internet users search for medical information online; however, many do not have an adequate medical vocabulary. Users might have difficulties finding the most authoritative and useful information because they are unfamiliar with the appropriate medical expressions describing their condition; consequently, they are unable to adequately satisfy their information need. We investigate the utility of bridging the gap between layperson and expert vocabularies; our approach adds the… Expand
EXPERIMENTAL EVALUATION OF QUERY REFORMULATION TECHNIQUES IN THE CONTEXT OF MEDICAL INFORMATION RETRIEVAL
With the proliferation of online medical information, a majority of laypeople (ordinary people with little medical background knowledge) and medical specialists now find the Web an indispensable toolExpand
Head Concepts Selection for Verbose Medical Queries Expansion
TLDR
Findings indicate that the proposed method combining several extrinsic semantic resources proved to be more effective than related approaches in terms of precision measure. Expand
Effects of language and terminology of query suggestions on medical accuracy considering different user characteristics
TLDR
Evaluation shows that simply providing these suggestions contributes to reduce the quantity of incorrect content, and indicates that even when suggestions are not clicked, they are useful either for subsequent queries' formulation or for interpreting search results. Expand
On the Combined Use of Extrinsic Semantic Resources for Medical Information Search
TLDR
Findings indicate that the proposed method combining several extrinsic semantic resources proved to be more effective than related approaches in terms of precision measure. Expand
On the impact of domain expertise on query formulation, relevance assessment and retrieval performance in clinical settings
TLDR
The results show that medical domain expertise significantly influences the perception of relevance even among users with similar levels of expertise and reinforces the idea that a single ground truth does not exist, thereby leading to the variability of system rankings with respect to the level of users expertise. Expand
Survey on Information Retrieval Accuracy in Biomedical Systems
TLDR
The paper intends to explore the work done in the field of medical text information retrieval by surveyed models developed or employed, indexing and ranking is surveyed and comparison is done among them. Expand
OPTIMIZED QUERY EXPANSION BASED CLASSIFIER FOR WEB INFORMATION RETRIEVAL
Due to the increase in availability of web documents, retrieving the required document is an important issue for the user. The user is unable to access the relevant documents due to inappropriateExpand
Semantic Information Retrieval on Medical Texts
TLDR
This survey provides an overview of the state of the art in the disciplines of IR and health informatics, and bridging these disciplines shows how semantic search techniques can facilitate medical IR. Expand
A Lightweight Semantic-Based Medical Document Retrieval
TLDR
A framework of lightweight semantic-based medical document retrieval in Bahasa Indonesia that could perform well with precision equals or more than 0.9 to find the relevant medical document through the semantic networks and the enhancement process. Expand
CRQA: Credibility Retrieval for Medical Question Answer Service
TLDR
This paper proposes an optimization method of search ranking based on credible evaluation mechanism, which largely solves the interference of “one-question multi-answer” phenomenon in the question-and-answer system on retrieval. Expand
...
1
2
3
4
...

References

SHOWING 1-10 OF 59 REFERENCES
MedSearch: a specialized search engine for medical information retrieval
TLDR
MedSearch is presented, a specialized medical Web search engine that accepts queries of extended length and reforms long queries into shorter queries by extracting a subset of important and representative words to improve its usability and the quality of search results. Expand
Explicitly integrating MeSH thesaurus help into health information retrieval systems: An empirical user study
TLDR
The results indicated that the augmented system is more effective than the simple system in terms of improving user-perceived topic familiarity and question-answer performance, even though users did not find users spend more time on the augmented systems. Expand
A knowledge-based search engine powered by wikipedia
TLDR
Koru is a new search interface that offers effective domain-independent knowledge-based information retrieval that exhibits an understanding of the topics of both queries and documents, and is capable of lending assistance to almost every query issued to it. Expand
Knowledge-based query expansion to support scenario-specific retrieval of medical free text
TLDR
A knowledge-based query expansion method that exploits the UMLS knowledge source to append the original query with additional terms that are specifically relevant to the query's scenario(s), which is able to improve more than 5% over the statistical method on average. Expand
An analysis of query difficulty for information retrieval in the medical domain
We present a post-hoc analysis of a benchmarking activity for information retrieval (IR) in the medical domain to determine if performance for queries with different levels of complexity can beExpand
Query expansion with a medical ontology to improve a multimodal information retrieval system
TLDR
The results from the experiments show that the use of a medical ontology to expand the queries greatly improves the results. Expand
Performance evaluation of unified medical language system®'s synonyms expansion to query PubMed
TLDR
This study highlights the need for specific search tools for each type of user and use-cases and proposes a method: expanding users' queries using Unified Medical Language System' (UMLS) synonyms i.e. all the terms gathered under one unique Concept Unique Identifier. Expand
MedicoPort: A medical search engine for all
TLDR
Results of the experiments indicate that, expanding the queries with domain knowledge, such as using the synonyms and partially or contextually relevant terms from UMLS, increase dramatically the relevance of an answer set produced by MedicoPort and the number of retrieved web pages that are relevant to the user request. Expand
Information retrieval with concept-based pseudo-relevance feedback in MEDLINE
TLDR
An innovative approach named concept-based pseudo-relevance feedback is introduced for improving accuracy of biomedical retrieval systems by using a hybrid retrieval algorithm for discovering relevancy between queries and documents which is based on a combination of keyword- and concept- based approaches. Expand
The effect of using domain specific ontologies in query expansion in medical field
  • V. Jalali, M. Borujerdi
  • Computer Science
  • 2008 International Conference on Innovations in Information Technology
  • 2008
TLDR
A semantic query expansion algorithm for medical information retrieval consisting of identifying MeSH concepts in user's query and applying expansion algorithm to them and results show improvements over classic method, query expansion using general purpose ontology and a number of other approaches. Expand
...
1
2
3
4
5
...