A deep learning and clustering‐based topic consistency modeling framework for matching health inform...
A deep learning and clustering‐based topic consistency modeling framework for matching health information supply and demand
About this item
Full title
Author / Creator
Gu, Dongxiao , Liu, Hu , Zhao, Huimin , Yang, Xuejie , Li, Min and Liang, Changyong
Publisher
Hoboken, USA: John Wiley & Sons, Inc
Journal title
Language
English
Formats
Publication information
Publisher
Hoboken, USA: John Wiley & Sons, Inc
Subjects
More information
Scope and Contents
Contents
Improving health literacy through health information dissemination is one of the most economical and effective mechanisms for improving population health. This process needs to fully accommodate the thematic suitability of health information supply and demand and reduce the impact of information overload and supply–demand mismatch on the enthusiasm...
Alternative Titles
Full title
A deep learning and clustering‐based topic consistency modeling framework for matching health information supply and demand
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_crossref_citationtrail_10_1002_asi_24846
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_citationtrail_10_1002_asi_24846
Other Identifiers
ISSN
2330-1635
E-ISSN
2330-1643
DOI
10.1002/asi.24846
