TY  - JOUR 
AU  - Cisnal De La Rica, Ana
AU  - Ruiz Rebollo, María Lourdes
AU  - Flórez Pardo, César
AU  - Matesanz Isabel, Jessica
AU  - Pérez Turiel, Javier
AU  - Fraile Marinero, Juan Carlos
PY  - 2025
SN  - 1590-8658
UR  - https://uvadoc.uva.es/handle/10324/80441
AB  - Background: Acute pancreatitis (AP) progresses to severe forms in about 20 % of cases, leading to high
morbidity and mortality. Traditional clinical scoring systems for severity prediction (e.g., Ranson, BISAP),
are limited by delayed applicability,...
LA  - eng
PB  - Elsevier
KW  - Acute pancreatitis
KW  - Clinical decision support
KW  - Machine learning
KW  - Severity prediction
TI  - Improved early prediction of acute pancreatitis severity using SHAP-based XGBoost model: Beyond traditional scoring systems
DO  - 10.1016/j.dld.2025.10.017
ER  -