Machine Learning Models to Evaluate County-Level Incidence of Diagnosed Diabetes and Sociodemographic Factors

Alexander S. Keigley, Shant Ayanian, Sagar B. Dugani

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DOI: 10.1016/j.ajmo.2026.100132
Published: 2026-06
Container: American Journal of Medicine Open
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.ajmo.2026.100132,
  title = {Machine Learning Models to Evaluate County-Level Incidence of Diagnosed Diabetes and Sociodemographic Factors},
  author = {Alexander S. Keigley and Shant Ayanian and Sagar B. Dugani},
  year = {2026},
  journal = {American Journal of Medicine Open},
  doi = {10.1016/j.ajmo.2026.100132},
  url = {https://doi.org/10.1016/j.ajmo.2026.100132}
}

RIS

TY  - JOUR
TI  - Machine Learning Models to Evaluate County-Level Incidence of Diagnosed Diabetes and Sociodemographic Factors
AU  - Alexander S. Keigley
AU  - Shant Ayanian
AU  - Sagar B. Dugani
PY  - 2026
JO  - American Journal of Medicine Open
DO  - 10.1016/j.ajmo.2026.100132
UR  - https://doi.org/10.1016/j.ajmo.2026.100132
ER  -

APA

Keigley, A. S., Ayanian, S., & Dugani, S. B. (2026). Machine Learning Models to Evaluate County-Level Incidence of Diagnosed Diabetes and Sociodemographic Factors. American Journal of Medicine Open. https://doi.org/10.1016/j.ajmo.2026.100132

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crossref · retrieved 2026-09-26T05:42:42.716Z