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

Venous Thrombosis III: Interprofessional Care01:29

Venous Thrombosis III: Interprofessional Care

280
Venous thrombosis requires effective prevention and treatment strategies to improve patient outcomes and reduce potential complications.Prevention StrategiesHealthcare providers must prioritize preventing venous thromboembolism (VTE) for all adult patients upon admission. Interventions depend on bleeding and thrombosis risk, medical history, current medications, diagnoses, planned procedures, and patient preferences. Patients on bed rest should change positions every two hours and, if not...
280
Venous Thrombosis II: Clinical Manifestations and Diagnostic Studies01:20

Venous Thrombosis II: Clinical Manifestations and Diagnostic Studies

294
The key difference between Superficial Vein Thrombosis (SVT) and Deep Vein Thrombosis (DVT) lies in their location and severity.Clinical ManifestationsSVT typically presents with localized pain, tenderness, and redness along the course of a superficial vein, often accompanied by a palpable, cord-like structure under the skin. This condition is usually less dangerous than DVT but can be uncomfortable and may lead to complications such as cellulitis or, rarely, a clot extension into the deep...
294
Venous Thrombosis I: Introduction01:30

Venous Thrombosis I: Introduction

375
Venous thrombosis, the most common disorder of the veins, involves the formation of a thrombus or blood clot associated with vein inflammation. It can be classified as either superficial vein thrombosis or deep vein thrombosis.Superficial Vein Thrombosis: This involves the formation of a thrombus in a superficial vein, usually the greater or lesser saphenous vein. Though less severe than deep vein thrombosis (DVT), SVT can lead to complications if untreated.Deep Vein Thrombosis (DVT): This...
375
Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

801
Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
801

You might also read

Related Articles

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

Sort by
Same author

Multifunctional nanotherapeutics for tumor microenvironment modulation in solid tumor therapy.

Discover nano·2026
Same author

Epidemiology of Rheumatoid Arthritis in the Asia-Pacific Region: A Systematic Analysis of the Global Burden of Disease Study 1990-2023 and Forecasts to 2025.

International journal of rheumatic diseases·2026
Same author

Policy stringency during the COVID-19 pandemic and healthcare services utilization in China: An interrupted time-series analysis.

PLoS medicine·2026
Same author

Association of Vitamin D and Weight Status With Neurodevelopmental Outcomes in a Large Pediatric Population: Cross-Sectional Study.

JMIR public health and surveillance·2026
Same author

Development of site-specific predictive equations for epicutaneo-caval catheter insertion depth by body weight in neonates.

Translational pediatrics·2025
Same author

Adapting health, economic and social policies to address population aging in China.

Nature aging·2025

Related Experiment Video

Updated: Jan 18, 2026

In Vitro Microfluidic Disease Model to Study Whole Blood-Endothelial Interactions and Blood Clot Dynamics in Real-Time
09:19

In Vitro Microfluidic Disease Model to Study Whole Blood-Endothelial Interactions and Blood Clot Dynamics in Real-Time

Published on: May 24, 2020

9.7K

Development of Venous Thromboembolism Risk Prediction Models Based on Whole Blood Gene Expression Profiling Using 20

Yedong Huang1, Xiaoyun Chen2, Guannan Bai3

  • 1Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China.

JMIR Medical Informatics
|January 16, 2026
PubMed
Summary
This summary is machine-generated.

This study developed 9 effective machine learning models for predicting venous thromboembolism (VTE) risk using gene expression data. These models show promise for improving VTE diagnosis when combined with D-dimer testing.

Keywords:
ROCbiomarkersgene expression profilingmachine learningpredictive modelsreceiver operating characteristic curvetranscriptomevenous thromboembolism

More Related Videos

Author Spotlight: Advancing Cancer Associated Thrombosis Research in Rodent Models
04:40

Author Spotlight: Advancing Cancer Associated Thrombosis Research in Rodent Models

Published on: January 5, 2024

3.1K
Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

907

Related Experiment Videos

Last Updated: Jan 18, 2026

In Vitro Microfluidic Disease Model to Study Whole Blood-Endothelial Interactions and Blood Clot Dynamics in Real-Time
09:19

In Vitro Microfluidic Disease Model to Study Whole Blood-Endothelial Interactions and Blood Clot Dynamics in Real-Time

Published on: May 24, 2020

9.7K
Author Spotlight: Advancing Cancer Associated Thrombosis Research in Rodent Models
04:40

Author Spotlight: Advancing Cancer Associated Thrombosis Research in Rodent Models

Published on: January 5, 2024

3.1K
Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

907

Area of Science:

  • Genomics
  • Bioinformatics
  • Machine Learning

Background:

  • Venous thromboembolism (VTE) lacks robust risk prediction models utilizing gene expression data.
  • Current diagnostic methods for VTE require improvement in predictive accuracy and efficiency.

Purpose of the Study:

  • To develop and validate a predictive model for VTE risk using whole blood gene expression profiling.
  • To comprehensively analyze the performance of 20 distinct machine learning algorithms for VTE prediction.

Main Methods:

  • Utilized two transcriptome datasets from the Gene Expression Omnibus (GEO) database for training and validation.
  • Employed feature selection techniques including LASSO, Random Forest, and Recursive Feature Elimination.
  • Constructed and evaluated 20 machine learning models, assessing performance via ROC curves and confusion matrices.

Main Results:

  • Nine machine learning models achieved an Area Under the Curve (AUC) greater than 0.75 in external validation.
  • All models, except k-nearest neighbor, demonstrated good performance in VTE prediction.
  • High specificity was maintained across algorithm models in the external validation cohort.

Conclusions:

  • Developed 9 machine learning models with significant diagnostic performance for VTE prediction based on gene expression.
  • These gene expression-based models, potentially combined with D-dimer, offer valuable new tools for VTE diagnosis.