Work

An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases

Year: 2014

Type: article

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.

Source: Scholar Commons (University of South Carolina)

Authors: Ashutosh Jadhav, Amit Sheth, Jyotishman Pathak

Language: Spanish

Topic: Information Retrieval and Search Behavior

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W1505573137

FWCI:

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Related to: 10