Uncertainty-calibrated adaptation of clinical transformer foundation models enhances in-hospital mortality and hospital readmission prediction

Pei-Hung Chung, Byung-Jun Yoon

Open source

DOI
10.1038/s44401-026-00119-7
Published
2026-07-08
Container
npj Health Systems
Publisher
Springer Science and Business Media LLC
Open access
unknown

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BibTeX

@article{allodium:10.1038/s44401-026-00119-7,
  title = {Uncertainty-calibrated adaptation of clinical transformer foundation models enhances in-hospital mortality and hospital readmission prediction},
  author = {Pei-Hung Chung and Byung-Jun Yoon},
  year = {2026},
  journal = {npj Health Systems},
  doi = {10.1038/s44401-026-00119-7},
  url = {https://doi.org/10.1038/s44401-026-00119-7}
}

RIS

TY  - JOUR
TI  - Uncertainty-calibrated adaptation of clinical transformer foundation models enhances in-hospital mortality and hospital readmission prediction
AU  - Pei-Hung Chung
AU  - Byung-Jun Yoon
PY  - 2026
JO  - npj Health Systems
DO  - 10.1038/s44401-026-00119-7
UR  - https://doi.org/10.1038/s44401-026-00119-7
ER  - 

APA

Chung, P., & Yoon, B. (2026). Uncertainty-calibrated adaptation of clinical transformer foundation models enhances in-hospital mortality and hospital readmission prediction. npj Health Systems. https://doi.org/10.1038/s44401-026-00119-7

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