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

Muscles of the Shoulder01:23

Muscles of the Shoulder

4.0K
The muscles surrounding the shoulder girdle, including the clavicle and scapula, primarily stabilize the scapula. This stable base allows other muscles to move the humerus effectively. Scapular movements often mirror those of the humerus and extend its range of motion. For instance, raising the arm above the head would not be feasible without simultaneous upward rotation of the scapula.
Anterior Thoracic Muscles
The anterior thoracic muscles include the serratus anterior, subclavius, and...
4.0K

You might also read

Related Articles

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

Sort by
Same author

Diameter-Axial-Polar Nephrometry is Predictive of Surgical Outcomes Following Partial Nephrectomy.

Medicine·2015
Same author

Assessing visual green effects of individual urban trees using airborne Lidar data.

The Science of the total environment·2015
Same author

A New Ligustrazine Derivative-Selective Cytotoxicity by Suppression of NF-κB/p65 and COX-2 Expression on Human Hepatoma Cells. Part 3.

International journal of molecular sciences·2015
Same author

Organ and effective dose evaluation in coronary angiography by using a 320 MDCT based on in-phantom dose measurements with TLDs.

Journal of radiological protection : official journal of the Society for Radiological Protection·2015
Same author

High Strength Multifunctional Multiwalled Hydrogel Tubes: Ion-Triggered Shape Memory, Antibacterial, and Anti-inflammatory Efficacies.

ACS applied materials & interfaces·2015
Same author

Increased Plasma S100A12 Levels Are Associated With Diabetic Retinopathy and Prognostic Biomarkers of Macrovascular Events in Type 2 Diabetic Patients.

Investigative ophthalmology & visual science·2015

Related Experiment Video

Updated: Aug 2, 2025

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

144

A predictive model based on random forest for shoulder-hand syndrome.

Suli Yu1, Jing Yuan2, Hua Lin2

  • 1Department of Hand and Upper Extremity Surgery, Jing'an District Central Hospital, Fudan University, Shanghai, China.

Frontiers in Neuroscience
|April 17, 2023
PubMed
Summary

This study developed a predictive model for shoulder-hand syndrome (SHS) after stroke using random forest algorithms. Key predictors identified include D-dimer, C-reactive protein, and hemoglobin levels, aiding in early risk identification for stroke patients.

Keywords:
ensemble learningpredictive modelrandom forestshoulder-hand syndromestroke rehabilitation

More Related Videos

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.8K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.6K

Related Experiment Videos

Last Updated: Aug 2, 2025

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

144
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.8K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.6K

Area of Science:

  • Neurology
  • Rehabilitation Medicine
  • Data Science in Healthcare

Background:

  • Shoulder-hand syndrome (SHS) significantly hinders post-stroke functional recovery.
  • Current understanding lacks high-risk factors and effective treatments for SHS.
  • Early identification of SHS risk is crucial for stroke patient management.

Purpose of the Study:

  • To develop a predictive model for SHS occurrence post-stroke using random forest (RF) algorithm.
  • To identify demographic, clinical, and laboratory factors associated with high risk of SHS.
  • To explore potential therapeutic strategies based on identified risk factors.

Main Methods:

  • Retrospective analysis of 36 first-onset stroke patients with hemiplegia.
  • Application of RF algorithms for predicting SHS occurrence.
  • Model validation using confusion matrix and ROC curve analysis.

Main Results:

  • A binary classification model achieved an Area Under the ROC Curve of 0.8 and 72.73% out-of-bag accuracy.
  • The model demonstrated a sensitivity of 0.8 and specificity of 0.5.
  • Top predictive features for SHS were D-dimer, C-reactive protein (CRP), and hemoglobin.

Conclusions:

  • A reliable predictive model for SHS can be built using patient data.
  • D-dimer, CRP, and hemoglobin are significant factors influencing SHS occurrence post-stroke.
  • Findings support targeted interventions for high-risk SHS patients.