Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Acute Pancreatitis II: Clinical Manifestations and Management01:30

Acute Pancreatitis II: Clinical Manifestations and Management

1.0K
Acute pancreatitis presents a complex medical emergency characterized by rapid onset inflammation of the pancreas, demanding timely diagnosis and management to prevent complications. The condition primarily manifests through severe upper abdominal pain that often radiates to the back. This pain intensifies following the consumption of fatty foods. Accompanying symptoms such as nausea, vomiting, abdominal distention, fever, dyspnea, cyanosis, and jaundice can vary in intensity but significantly...
1.0K
Chronic Pancreatitis II: Collaborative Care01:29

Chronic Pancreatitis II: Collaborative Care

457
The management of chronic pancreatitis is multifaceted, involving a comprehensive approach that includes thorough assessment, diagnostic testing, and a variety of management strategies.
Assessment:
457

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[HER2 promotes cell migration via inhibiting the expression of E-cadherin in human mammary epithelial cells].

Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology·2017
Same author

Suppression of cucumber stachyose synthase gene (CsSTS) inhibits phloem loading and reduces low temperature stress tolerance.

Plant molecular biology·2017
Same author

Prognostic Factors for Recovery of Patients After Surgery for Thoracic Spinal Tuberculosis.

World neurosurgery·2017
Same author

NaK alloy-induced in vivo tumor ablation therapy.

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy·2017
Same author

Robust Granger Analysis in Lp Norm Space for Directed EEG Network Analysis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2017
Same author

Cell Sheets of Co-cultured Endothelial Progenitor Cells and Mesenchymal Stromal Cells Promote Osseointegration in Irradiated Rat Bone.

Scientific reports·2017

Related Experiment Video

Updated: Mar 17, 2026

Preparing a Mice Model of Severe Acute Pancreatitis via a Combination of Caerulein and Lipopolysaccharide Intraperitoneal Injection
07:38

Preparing a Mice Model of Severe Acute Pancreatitis via a Combination of Caerulein and Lipopolysaccharide Intraperitoneal Injection

Published on: May 10, 2024

1.5K

Predicting the acute pancreatitis severity with multi-machine learning models: constructing an online prediction

Jie Cao1, Shike Long2,3, Huan Liu1

  • 1Department of Gastroenterology, The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China.

Frontiers in Cellular and Infection Microbiology
|March 16, 2026
PubMed
Summary

Early assessment of acute pancreatitis (AP) severity is crucial. A new web-based tool using machine learning accurately predicts severe AP risk, aiding timely intervention.

Keywords:
LightGBMmachine learningonline prediction platformpredictive modelssevere acute pancreatitis

More Related Videos

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.6K
Establishment of a Mouse Severe Acute Pancreatitis Model using Retrograde Injection of Sodium Taurocholate into the Biliopancreatic Duct
07:10

Establishment of a Mouse Severe Acute Pancreatitis Model using Retrograde Injection of Sodium Taurocholate into the Biliopancreatic Duct

Published on: April 1, 2022

5.2K

Related Experiment Videos

Last Updated: Mar 17, 2026

Preparing a Mice Model of Severe Acute Pancreatitis via a Combination of Caerulein and Lipopolysaccharide Intraperitoneal Injection
07:38

Preparing a Mice Model of Severe Acute Pancreatitis via a Combination of Caerulein and Lipopolysaccharide Intraperitoneal Injection

Published on: May 10, 2024

1.5K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.6K
Establishment of a Mouse Severe Acute Pancreatitis Model using Retrograde Injection of Sodium Taurocholate into the Biliopancreatic Duct
07:10

Establishment of a Mouse Severe Acute Pancreatitis Model using Retrograde Injection of Sodium Taurocholate into the Biliopancreatic Duct

Published on: April 1, 2022

5.2K

Area of Science:

  • Medical Informatics
  • Machine Learning in Healthcare
  • Clinical Decision Support Systems

Background:

  • Early assessment of acute pancreatitis (AP) severity is critical for patient outcomes.
  • A web-based calculator was developed to estimate the likelihood of AP progression to severe AP.
  • This tool aims to facilitate prompt clinical decision-making.

Purpose of the Study:

  • To develop and validate a predictive model for severe acute pancreatitis (SAP).
  • To identify key clinical variables that predict SAP development.
  • To create a user-friendly clinical application for SAP risk assessment.

Main Methods:

  • Retrospective analysis of 1289 AP patient records.
  • Development and comparison of 10 machine learning models, including LightGBM, XGBoost, and neural networks.
  • Feature selection using Random Forest and LASSO; model evaluation via AUC and SHAP/PDP for interpretability.

Main Results:

  • The LightGBM model achieved the highest predictive accuracy with AUCs of 0.9726 (training) and 0.9301 (test).
  • Key predictors for SAP identified: Calcium (Ca), White Blood Cell count (WBC), alpha-hydroxybutyrate dehydrogenase (α-HBDH), and Glucose (Glu).
  • Ca showed a negative association, while WBC, α-HBDH, and Glu positively correlated with SAP risk.

Conclusions:

  • Clinical variables Ca, WBC, α-HBDH, and Glu possess significant predictive power for SAP.
  • A clinical online platform was developed for rapid SAP risk assessment.
  • The platform supports timely intervention and improved patient management for severe acute pancreatitis.