Document Type
Conference Proceeding
Publication Date
11-2014
Abstract
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.
Repository Citation
Jadhav, A. S.,
Sheth, A. P.,
& Pathak, J.
(2014). An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases. .
https://corescholar.libraries.wright.edu/knoesis/541
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
To be presented at the American Medical Informatics Association Annual Symposium, Washington DC, November 15-19, 2014.