Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42756, first published .
Identification of Risk Groups for and Factors Affecting Metabolic Syndrome in South Korean Single-Person Households Using Latent Class Analysis and Machine Learning Techniques: Secondary Analysis Study

Identification of Risk Groups for and Factors Affecting Metabolic Syndrome in South Korean Single-Person Households Using Latent Class Analysis and Machine Learning Techniques: Secondary Analysis Study

Identification of Risk Groups for and Factors Affecting Metabolic Syndrome in South Korean Single-Person Households Using Latent Class Analysis and Machine Learning Techniques: Secondary Analysis Study

Authors of this article:

Ji-Soo Lee1 Author Orcid Image ;   Soo-Kyoung Lee2 Author Orcid Image

JMIR Formative Res: Identification of Risk Groups for and Factors Affecting Metabolic Syndrome in South Korean Single-Person Households Using Latent Class Analysis and Machine Learning Techniques: Secondary Analysis Study https://t.co/Y5Muj0LIiG https://t.co/HC1b09a9IP

1:02 PM · Sep 12, 2023

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RT @jmirpub: JMIR Formative Res: Identification of Risk Groups for and Factors Affecting Metabolic Syndrome in South Korean Single-Person H…

1:03 PM · Sep 12, 2023

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