Predictive Modeling the Probability of Suffering from Metabolic Syndrome Using Machine Learning: A Population-Based Study

Hu, X Li, X Wen, S

Li, X Zeng, T-S Chen, L

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Field	Value	Language
dc.contributor.author	Hu, X
dc.contributor.author	Li, X
dc.contributor.author	Wen, S https://orcid.org/0000-0001-8077-7001
dc.contributor.author	Li, X
dc.contributor.author	Zeng, T-S
dc.contributor.author	Chen, L
dc.date.accessioned	2024-02-01T08:10:58Z
dc.date.available	2024-02-01T08:10:58Z
dc.date.issued	2022-01-01
dc.identifier.citation	SSRN Electronic Journal, 2022
dc.identifier.uri	http://hdl.handle.net/10453/175248
dc.language	en
dc.relation.ispartof	SSRN Electronic Journal
dc.relation.isbasedon	10.2139/ssrn.4016487
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Predictive Modeling the Probability of Suffering from Metabolic Syndrome Using Machine Learning: A Population-Based Study
dc.type	preprint
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	open_access	*
dc.date.updated	2024-02-01T08:10:57Z

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