Literature DB >> 16221944

Assisting consumer health information retrieval with query recommendations.

Qing T Zeng1, Jonathan Crowell, Robert M Plovnick, Eunjung Kim, Long Ngo, Emily Dibble.   

Abstract

OBJECTIVE: Health information retrieval (HIR) on the Internet has become an important practice for millions of people, many of whom have problems forming effective queries. We have developed and evaluated a tool to assist people in health-related query formation.
DESIGN: We developed the Health Information Query Assistant (HIQuA) system. The system suggests alternative/additional query terms related to the user's initial query that can be used as building blocks to construct a better, more specific query. The recommended terms are selected according to their semantic distance from the original query, which is calculated on the basis of concept co-occurrences in medical literature and log data as well as semantic relations in medical vocabularies. MEASUREMENTS: An evaluation of the HIQuA system was conducted and a total of 213 subjects participated in the study. The subjects were randomized into 2 groups. One group was given query recommendations and the other was not. Each subject performed HIR for both a predefined and a self-defined task.
RESULTS: The study showed that providing HIQuA recommendations resulted in statistically significantly higher rates of successful queries (odds ratio = 1.66, 95% confidence interval = 1.16-2.38), although no statistically significant impact on user satisfaction or the users' ability to accomplish the predefined retrieval task was found.
CONCLUSION: Providing semantic-distance-based query recommendations can help consumers with query formation during HIR.

Entities:  

Mesh:

Year:  2005        PMID: 16221944      PMCID: PMC1380203          DOI: 10.1197/jamia.M1820

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


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