Modeling Diabetes Risk and Progression With Public Health Data: Ontology-Guided, Simulation-Capable Digital Twin Study

Qingrui Li, Kapileshwor Ray Amat, Eric L Johnson, Juan Li

Open source

DOI: 10.2196/87374
Published: 2026-04-21
Container: JMIR Medical Informatics
Publisher: JMIR Publications Inc.
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.2196/87374,
  title = {Modeling Diabetes Risk and Progression With Public Health Data: Ontology-Guided, Simulation-Capable Digital Twin Study},
  author = {Qingrui Li and Kapileshwor Ray Amat and Eric L Johnson and Juan Li},
  year = {2026},
  journal = {JMIR Medical Informatics},
  doi = {10.2196/87374},
  url = {https://doi.org/10.2196/87374}
}

RIS

TY  - JOUR
TI  - Modeling Diabetes Risk and Progression With Public Health Data: Ontology-Guided, Simulation-Capable Digital Twin Study
AU  - Qingrui Li
AU  - Kapileshwor Ray Amat
AU  - Eric L Johnson
AU  - Juan Li
PY  - 2026
JO  - JMIR Medical Informatics
DO  - 10.2196/87374
UR  - https://doi.org/10.2196/87374
ER  -

APA

Li, Q., Amat, K. R., Johnson, E. L., & Li, J. (2026). Modeling Diabetes Risk and Progression With Public Health Data: Ontology-Guided, Simulation-Capable Digital Twin Study. JMIR Medical Informatics. https://doi.org/10.2196/87374

Source records

crossref · retrieved 2026-09-25T19:17:05.873Z