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YouTube Video Analytics for Patient Education: An Exploratory Clustering of Obstructive Sleep Apnea Videos.

Authors :
Ruoyu ZHANG
SHIN, Jennifer
SCHULZ, Kristine
Xiao LIU
SUSARLA, Anjana
PADMAN, Rema
Source :
Medinfo; 2023, Vol. 310, p1261-1265, 5p
Publication Year :
2023

Abstract

With the growing popularity of content-sharing platforms, patients are increasingly using the Internet as a critical source of health information. As one of the most popular video-sharing sites, YouTube provides easy access to health information seekers, but it is difficult and time-consuming to identify and retrieve high-quality videos that may serve as engaging patient education materials. This paper reports on an exploratory analysis of 317 YouTube videos on Obstructive Sleep Apnea (OSA) to better understand some key features of the videos and the relationships between them to facilitate subsequent video classification and recommendation. Features intrinsic to a video, such as video duration, and extrinsic, such as the number of views, are analyzed using unsupervised clustering methods and the Sankey diagram to discover the relationship between the clusters and their significance across different clusters, providing promising insights for the assessment of video quality. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15696332
Volume :
310
Database :
Complementary Index
Journal :
Medinfo
Publication Type :
Conference
Accession number :
175124660
Full Text :
https://doi.org/10.3233/SHTI231167