Protocol for deep mining the correlation between acute pancreatitis and ferroptosis using the MIMIC-III database and STATA software
Related Experiment Video
Updated: Jul 18, 2026

DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data
Published on: December 15, 2023
Yueling Deng1, Tao Jiang1, Sujie Zhang1
1Health Management Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Abstract:
The limitations associated with distinguishing serum Fe2+ and Fe3+ hinder the widespread application of ferroptosis, beyond laboratory settings. Here, we present a protocol for deep mining the correlation between acute pancreatitis and ferroptosis using the MIMIC-III database and STATA software. We describe steps for using Cox regression, decision curve analysis (DCA), and receiver operating characteristic (ROC) approaches to establish the relationship between them and determine the relevant factors. This protocol has potential application in establishing novel research models that integrate both fundamental and clinical methodologies. For complete details on the use and execution of this protocol, please refer to Yueling Deng et al.1.
Related Concept Videos
Acute Pancreatitis I: Introduction
Acute pancreatitis is characterized by rapid inflammation of the pancreas, often caused by factors like gallstone blockage or excessive alcohol consumption. Chronic pancreatitis, on the other hand, is a slow, progressive inflammation that may result from long-term alcohol abuse, obstructions in the pancreatic duct, or genetic factors.
The causes of acute pancreatitis include:
Chronic Pancreatitis II: Collaborative Care
Assessment:
Acute Pancreatitis I: Introduction

