EASY-APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis.

ABSTRACT:

Background

Acute pancreatitis (AP) is a potentially severe or even fatal inflammation of the pancreas. Early identification of patients at high risk for developing a severe course of the disease is crucial for preventing organ failure and death. Most of the former predictive scores require many parameters or at least 24 h to predict the severity; therefore, the early therapeutic window is often missed.

Methods

The early achievable severity index (EASY) is a multicentre, multinational, prospective and observational study (ISRCTN10525246). The predictions were made using machine learning models. We used the scikit-learn, xgboost and catboost Python packages for modelling. We evaluated our models using fourfold cross-validation, and the receiver operating characteristic (ROC) c

SUBMITTER: Kui B 

PROVIDER: S-EPMC9162438 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature