Analysis of Online Information Searching for Cardiovascular Diseases on a Consumer Health Information Portal

TitleAnalysis of Online Information Searching for Cardiovascular Diseases on a Consumer Health Information Portal
Publication TypeConference Proceedings
Year of Publication2014
AuthorsAshutosh Jadhav, Amit Sheth, Jyotishman Pathak
Conference NameAMIA Annual Symposium 2014
Pagination739-748
Date Published11/2014
PublisherAmerican Medical Informatics Association
Conference LocationWashington, D.C.
Keywordscardiovascular diseases, CVD, eHealth, health information search, health search log, health seeking behavior, online health information seeking, search intent mining, search query analysis
Abstract

Since the early 2000, Internet usage for health information searching has increased significantly. Studying search queries can help us to understand users information need and how do they formulate search queries (expression of information need). Although cardiovascular diseases (CVD) affect a large percentage of the population, few studies have investigated how and what users search for CVD. We address this knowledge gap in the community by analyzing a large corpus of 10 million CVD related search queries from MayoClinic.com. Using UMLS MetaMap and UMLS semantic types/concepts, we developed a rule-based approach to categorize the queries into 14 health categories. We analyzed structural properties, types (keyword-based/Wh-questions/Yes-No questions) and linguistic structure of the queries. Our results show that the most searched health categories are Diseases/Conditions, Vital sings, Symptoms and Living-with. CVD queries are longer and are predominantly keyword-based. This study extends our knowledge about online health information searching and provides useful insights for Web search engines and health websites.

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