Identification of metabolic risk phenotypes among U.S. adolescents: A machine learning analysis of NHANES 2017–2023

Oscar Fidel Antunez Martinez

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DOI: 10.1016/j.pedn.2026.10.021
Published: 2026-10
Container: Journal of Pediatric Nursing
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.pedn.2026.10.021,
  title = {Identification of metabolic risk phenotypes among U.S. adolescents: A machine learning analysis of NHANES 2017–2023},
  author = {Oscar Fidel Antunez Martinez},
  year = {2026},
  journal = {Journal of Pediatric Nursing},
  doi = {10.1016/j.pedn.2026.10.021},
  url = {https://doi.org/10.1016/j.pedn.2026.10.021}
}

RIS

TY  - JOUR
TI  - Identification of metabolic risk phenotypes among U.S. adolescents: A machine learning analysis of NHANES 2017–2023
AU  - Oscar Fidel Antunez Martinez
PY  - 2026
JO  - Journal of Pediatric Nursing
DO  - 10.1016/j.pedn.2026.10.021
UR  - https://doi.org/10.1016/j.pedn.2026.10.021
ER  -

APA

Martinez, O. F. A. (2026). Identification of metabolic risk phenotypes among U.S. adolescents: A machine learning analysis of NHANES 2017–2023. Journal of Pediatric Nursing. https://doi.org/10.1016/j.pedn.2026.10.021

Source records

crossref · retrieved 2026-11-05T20:53:35.129Z