Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Diabetic Foot Ulcer

Diabetic Foot Ulcer

Definition A diabetic foot ulcer (DFU) is a chronic, non-healing wound that develops in individuals with diabetes. It typically occurs on pressure-bearing areas such as the heel, metatarsal heads, or hallux, and carries a high risk of infection and amputation.Pathophysiology • The development of DFUs can be explained by four interconnected mechanisms: neuropathy, ischemia, infection, and impaired wound healing. • Neuropathy is the most common factor. Sensory...

You might also read

Related Articles

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

Sort by

Same author

Standardization Challenges and Breakthroughs in Apolipoprotein B Detection: From Immunoassays to LC-MS/MS.

Mass spectrometry reviews·2026

Same author

Development and validation of a prediction model for infection in chronic nonhealing wounds: a two-center retrospective study with external validation.

Frontiers in public health·2026

Same author

Development and Validation of a Predictive Model for Surgical Site Infection in Open Hand Injuries.

Infection and drug resistance·2026

Same author

Establishment of a candidate reference method and verification of reference intervals for serum copper in pregnant and non-pregnant women.

Annals of clinical biochemistry·2026

Same author

Establishment and application of a fully automated serum total free sulfhydryl assay based on 2,2'-DTDP.

Methods (San Diego, Calif.)·2025

Same author

Parathyroid hormone assay standardization in CKD-MBD: resolving heterogeneity for precision medicine.

Frontiers in endocrinology·2025

Search research articles

Related Experiment Video

Updated: May 5, 2026

A Simplified Technique for Producing an Ischemic Wound Model

A Simplified Technique for Producing an Ischemic Wound Model

Published on: May 2, 2012

Development and External Validation of a Machine Learning Model for Predicting Wound Infection in Diabetic Foot

Xingguo Nie¹, Yang Jiang², Xiangyan Meng³

¹Department of Orthopedics, The First Affiliated Hospital of Henan Medical University, Weihui, Henan, People's Republic of China.

Diabetes, Metabolic Syndrome and Obesity : Targets and Therapy

|March 13, 2026

Summary

This summary is machine-generated.

Machine learning accurately predicts diabetic foot ulcer infections. The Random Forest model identified key risk factors, enabling early intervention to improve patient outcomes and reduce amputations.

Keywords:

diabetic foot external validation machine learning predictive modeling ulcer infection

More Related Videos

Assessment of Acute Wound Healing using the Dorsal Subcutaneous Polyvinyl Alcohol Sponge Implantation and Excisional Tail Skin Wound Models.

Assessment of Acute Wound Healing using the Dorsal Subcutaneous Polyvinyl Alcohol Sponge Implantation and Excisional Tail Skin Wound Models.

Published on: March 25, 2020

Human Ex vivo Wound Model and Whole-Mount Staining Approach to Accurately Evaluate Skin Repair

Human Ex vivo Wound Model and Whole-Mount Staining Approach to Accurately Evaluate Skin Repair

Published on: February 17, 2021

Related Experiment Videos

Last Updated: May 5, 2026

A Simplified Technique for Producing an Ischemic Wound Model

A Simplified Technique for Producing an Ischemic Wound Model

Published on: May 2, 2012

Assessment of Acute Wound Healing using the Dorsal Subcutaneous Polyvinyl Alcohol Sponge Implantation and Excisional Tail Skin Wound Models.

Assessment of Acute Wound Healing using the Dorsal Subcutaneous Polyvinyl Alcohol Sponge Implantation and Excisional Tail Skin Wound Models.

Published on: March 25, 2020

Human Ex vivo Wound Model and Whole-Mount Staining Approach to Accurately Evaluate Skin Repair

Human Ex vivo Wound Model and Whole-Mount Staining Approach to Accurately Evaluate Skin Repair

Published on: February 17, 2021

Area of Science:

Diabetic Foot Ulcer (DFU) research
Clinical informatics
Machine learning in healthcare

Background:

Diabetic foot ulcer infections significantly worsen patient prognosis.
Predicting wound infection is crucial for effective DFU management.

Purpose of the Study:

To develop and validate machine learning models for predicting DFU wound infections.
To compare the performance of various machine learning algorithms.

Main Methods:

Retrospective analysis of 800 DFU patients.
Development and comparison of eight machine learning algorithms.
Internal and external validation using metrics like AUC, accuracy, sensitivity, and specificity.

Main Results:

The Random Forest (RF) model achieved the highest performance (AUC 0.937 training, 0.853 internal, 0.832 external).
Key predictors identified: age, diabetes duration, ABI, ulcer area, vascular complications, and osteomyelitis.
SHapley Additive exPlanations (SHAP) provided interpretable feature importance.

Conclusions:

The RF model demonstrates robust and generalizable predictive performance for DFU infections.
Clinical integration can facilitate early risk stratification and personalized interventions.
Further prospective studies are recommended for validation.