Using Machine Learning to Predict Young People’s Internet Health and Social Service Information Seek...
Using Machine Learning to Predict Young People’s Internet Health and Social Service Information Seeking
About this item
Full title
Author / Creator
Adolescent Medicine Trials Network (ATN) CARES Team , Comulada, W. Scott , Goldbeck, Cameron , Almirol, Ellen , Gunn, Heather J. , Ocasio, Manuel A. , Fernández, M. Isabel , Arnold, Elizabeth Mayfield , Romero-Espinoza, Adriana , Urauchi, Stacey , Ramos, Wilson , Rotheram-Borus, Mary Jane , Klausner, Jeffrey D. and Swendeman, Dallas
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
More information
Scope and Contents
Contents
Machine learning creates new opportunities to design digital health interventions for youth at risk for acquiring HIV (YARH), capitalizing on YARH’s health information seeking on the internet. To date, researchers have focused on descriptive analyses that associate individual factors with health-seeking behaviors, without estimating of the strength...
Alternative Titles
Full title
Using Machine Learning to Predict Young People’s Internet Health and Social Service Information Seeking
Authors, Artists and Contributors
Author / Creator
Comulada, W. Scott
Goldbeck, Cameron
Almirol, Ellen
Gunn, Heather J.
Ocasio, Manuel A.
Fernández, M. Isabel
Arnold, Elizabeth Mayfield
Romero-Espinoza, Adriana
Urauchi, Stacey
Ramos, Wilson
Rotheram-Borus, Mary Jane
Klausner, Jeffrey D.
Swendeman, Dallas
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8541921
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8541921
Other Identifiers
ISSN
1389-4986
E-ISSN
1573-6695
DOI
10.1007/s11121-021-01255-2
