Development and external evaluation of an interpretable machine-learning model for early prediction of organ failure in higher-risk acute pancreatitis patients: A multicentre cohort study.
- DOI
- 10.1371/journal.pdig.0001735
- Published
- 2026 Sep
- Container
- PLOS digital health
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pdig.0001735,
title = {Development and external evaluation of an interpretable machine-learning model for early prediction of organ failure in higher-risk acute pancreatitis patients: A multicentre cohort study.},
author = {Wu D and Cai W and Chen C and Chen M and Lv Y and Huang Y and Evans A and Lin J and Latawiec D and Kattakayam A and Mukherjee R and Huang W and Xia Q and Xiao J and Su C and Peng J and Jiang K and Sutton R},
year = {2026},
journal = {PLOS digital health},
doi = {10.1371/journal.pdig.0001735},
url = {https://doi.org/10.1371/journal.pdig.0001735}
}RIS
TY - JOUR TI - Development and external evaluation of an interpretable machine-learning model for early prediction of organ failure in higher-risk acute pancreatitis patients: A multicentre cohort study. AU - Wu D AU - Cai W AU - Chen C AU - Chen M AU - Lv Y AU - Huang Y AU - Evans A AU - Lin J AU - Latawiec D AU - Kattakayam A AU - Mukherjee R AU - Huang W AU - Xia Q AU - Xiao J AU - Su C AU - Peng J AU - Jiang K AU - Sutton R PY - 2026 JO - PLOS digital health DO - 10.1371/journal.pdig.0001735 UR - https://doi.org/10.1371/journal.pdig.0001735 ER -
APA
D, W., W, C., C, C., M, C., Y, L., Y, H., A, E., J, L., D, L., A, K., R, M., W, H., Q, X., J, X., C, S., J, P., K, J., & R, S. (2026). Development and external evaluation of an interpretable machine-learning model for early prediction of organ failure in higher-risk acute pancreatitis patients: A multicentre cohort study.. PLOS digital health. https://doi.org/10.1371/journal.pdig.0001735
Source records
- pubmed · retrieved 2026-09-25T01:47:29.114Z