Ontology highlight
ABSTRACT: Background
Patients considering total joint arthroplasty often search for information online regarding surgery; however, little is known about the specific topics that patients search for and the nature of the information provided. Google compiles frequently asked questions associated with a search term using machine learning and natural language processing. Links to individual websites are provided to answer each question. Analysis of this data may help improve understanding of patient concerns and inform more effective counseling.Methods
Search terms were entered into Google for total hip and total knee arthroplasty. Frequently asked questions and associated websites were extracted to a database using customized software. Questions were categorized by topic; websites were
SUBMITTER: Shen TS
PROVIDER: S-EPMC7573653 | biostudies-literature | 2021 Apr
REPOSITORIES: biostudies-literature