|Title||An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases|
|Publication Type||Conference Paper|
|Year of Publication||2014|
|Authors||Ashutosh Jadhav, Amit Sheth, Jyotishman Pathak|
|Conference Name||AMIA Annual Symposium 2014|
|Conference Location||Washington, D.C.|
|Keywords||cardiovascular diseases, CVD, eHealth, health information search, health search log, health seeking behavior, online health information seeking, search query analysis|
Increasingly, individuals are taking active participation in learning and managing their health by leveraging online resources. Understanding online health information searching behavior can help us to study what health topics users search for and how search queries are formulated. In this work, we analyzed 10 million cardiovascular diseases (CVD) related search queries from MayoClinic.com. We performed semantic analysis on the queries using UMLS MetaMap and analyzed structural and textual properties as well as linguistic characteristics of the queries.