AI-driven analysis of diabetes risk determinants in U.S. adults: Exploring disease prevalence and health factors

Dawid Majcherek, Antoni Ciesielski, Paweł Sobczak

Open source

DOI: 10.1371/journal.pone.0328655
Published: 2025-09-03
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0328655,
  title = {AI-driven analysis of diabetes risk determinants in U.S. adults: Exploring disease prevalence and health factors},
  author = {Dawid Majcherek and Antoni Ciesielski and Paweł Sobczak},
  year = {2025},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0328655},
  url = {https://doi.org/10.1371/journal.pone.0328655}
}

RIS

TY  - JOUR
TI  - AI-driven analysis of diabetes risk determinants in U.S. adults: Exploring disease prevalence and health factors
AU  - Dawid Majcherek
AU  - Antoni Ciesielski
AU  - Paweł Sobczak
PY  - 2025
JO  - PLOS One
DO  - 10.1371/journal.pone.0328655
UR  - https://doi.org/10.1371/journal.pone.0328655
ER  -

APA

Majcherek, D., Ciesielski, A., & Sobczak, P. (2025). AI-driven analysis of diabetes risk determinants in U.S. adults: Exploring disease prevalence and health factors. PLOS One. https://doi.org/10.1371/journal.pone.0328655

Source records

crossref · retrieved 2026-09-26T20:20:50.323Z