Equation Disagreement as a Zero-Cost Uncertainty Signal for LDL-C Classification: An Interpretable Regime-Aware Calibration Model Rescues Misclassification at Treatment Thresholds
- DOI
- 10.1093/jalm/jfag139
- Published
- 2026-09-26
- Container
- The Journal of Applied Laboratory Medicine
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/jalm/jfag139,
title = {Equation Disagreement as a Zero-Cost Uncertainty Signal for LDL-C Classification: An Interpretable Regime-Aware Calibration Model Rescues Misclassification at Treatment Thresholds},
author = {Ronald Doku and Nana Yaw A Osafo and John Kwagyan and William M Southerland},
year = {2026},
journal = {The Journal of Applied Laboratory Medicine},
doi = {10.1093/jalm/jfag139},
url = {https://doi.org/10.1093/jalm/jfag139}
}RIS
TY - JOUR TI - Equation Disagreement as a Zero-Cost Uncertainty Signal for LDL-C Classification: An Interpretable Regime-Aware Calibration Model Rescues Misclassification at Treatment Thresholds AU - Ronald Doku AU - Nana Yaw A Osafo AU - John Kwagyan AU - William M Southerland PY - 2026 JO - The Journal of Applied Laboratory Medicine DO - 10.1093/jalm/jfag139 UR - https://doi.org/10.1093/jalm/jfag139 ER -
APA
Doku, R., Osafo, N. Y. A., Kwagyan, J., & Southerland, W. M. (2026). Equation Disagreement as a Zero-Cost Uncertainty Signal for LDL-C Classification: An Interpretable Regime-Aware Calibration Model Rescues Misclassification at Treatment Thresholds. The Journal of Applied Laboratory Medicine. https://doi.org/10.1093/jalm/jfag139
Source records
- crossref · retrieved 2026-09-26T12:24:30.367Z