Machine learning for predicting emergency department visits in patients with type 2 diabetes: A real-world, multi-institutional study.

Kim S, Sang H, Park J, Woo S, Cho EH, Kim CH, Kim DJ, Jeong CW, Park TS, Hwang YC, Lim H, Kim Z, Kang H, Yon DK, Rhee SY

Open source

DOI
10.1371/journal.pone.0352342
Published
2026
Container
PloS one
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1371/journal.pone.0352342,
  title = {Machine learning for predicting emergency department visits in patients with type 2 diabetes: A real-world, multi-institutional study.},
  author = {Kim S and Sang H and Park J and Woo S and Cho EH and Kim CH and Kim DJ and Jeong CW and Park TS and Hwang YC and Lim H and Kim Z and Kang H and Yon DK and Rhee SY},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0352342},
  url = {https://doi.org/10.1371/journal.pone.0352342}
}

RIS

TY  - JOUR
TI  - Machine learning for predicting emergency department visits in patients with type 2 diabetes: A real-world, multi-institutional study.
AU  - Kim S
AU  - Sang H
AU  - Park J
AU  - Woo S
AU  - Cho EH
AU  - Kim CH
AU  - Kim DJ
AU  - Jeong CW
AU  - Park TS
AU  - Hwang YC
AU  - Lim H
AU  - Kim Z
AU  - Kang H
AU  - Yon DK
AU  - Rhee SY
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0352342
UR  - https://doi.org/10.1371/journal.pone.0352342
ER  - 

APA

S, K., H, S., J, P., S, W., EH, C., CH, K., DJ, K., CW, J., TS, P., YC, H., H, L., Z, K., H, K., DK, Y., & SY, R. (2026). Machine learning for predicting emergency department visits in patients with type 2 diabetes: A real-world, multi-institutional study.. PloS one. https://doi.org/10.1371/journal.pone.0352342

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