AIMC Topic: Return to Work

Clear Filters Showing 1 to 9 of 9 articles

Predicting the time to get back to work using statistical models and machine learning approaches.

BMC medical research methodology Nov 29, 2024
BACKGROUND: Whether machine learning approaches are superior to classical statistical models for survival analyses, especially in the case of lack of proportionality, is unknown.
Time Factors Support Vector Machine Models, Statistical Survival Analysis Proportional Hazards Models Return to Work Female Humans Adult Machine Learning Male Algorithms Middle Aged
View on PubMed DOI

One-year employment outcome prediction after traumatic brain injury: A CENTER-TBI study.

Disability and health journal Oct 10, 2024
BACKGROUND: Traumatic brain injury (TBI) can come with long term consequences for functional outcome that can complicate return to work.
Young Adult Adult Male Humans Middle Aged Brain Injuries, Traumatic Machine Learning Europe Length of Stay Algorithms Employment Cohort Studies Female Persons with Disabilities Return to Work Logistic Models
View on PubMed DOI

Clinical Applications of Artificial Intelligence in Occupational Health: A Systematic Literature Review.

Journal of occupational and environmental medicine Aug 26, 2024
OBJECTIVES: The aims of the study are to identify and to critically analyze studies using artificial intelligence (AI) in occupational health.
Algorithms Risk Assessment Occupational Health Return to Work Humans Neural Networks, Computer Artificial Intelligence
View on PubMed DOI

A Scoping Review on the Use of Machine Learning in Return-to-Work Studies: Strengths and Weaknesses.

Journal of occupational rehabilitation Jun 28, 2023
PURPOSE: Decisions to increase work participation must be informed and timely to improve return to work (RTW). The implementation of research into clinical practice relies on sophisticated yet practical approaches such as machine learning (ML). The o...
Humans Machine Learning Rehabilitation, Vocational Return to Work
View on PubMed DOI

Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies.

Scientific reports Dec 20, 2021
Chronic exertional compartment syndrome (CECS) is a condition occurring most frequently in the lower limbs and often requires corrective surgery to alleviate symptoms. Amongst military personnel, the success rates of this surgery can be as low as 20%...
Fasciotomy Return to Work Chronic Exertional Compartment Syndrome Support Vector Machine Lower Extremity Models, Statistical Area Under Curve Military Personnel Surveys and Questionnaires Machine Learning Linear Models Time Factors Prognosis Leg ROC Curve Female Treatment Outcome Reproducibility of Results Male Young Adult Humans Middle Aged Adult Exercise Sensitivity and Specificity
View on PubMed DOI

Prediction of Return-to-original-work after an Industrial Accident Using Machine Learning and Comparison of Techniques.

Journal of Korean medical science Apr 25, 2018
BACKGROUND: Many studies have tried to develop predictors for return-to-work (RTW). However, since complex factors have been demonstrated to predict RTW, it is difficult to use them practically. This study investigated whether factors used in previou...
Accidents, Occupational Decision Trees Female Humans Odds Ratio Logistic Models Adult Machine Learning Return to Work Support Vector Machine Male Databases, Factual Middle Aged
View on PubMed DOI

Smart Work Injury Management (SWIM) System: Artificial Intelligence in Work Disability Management.

Journal of occupational rehabilitation Sep 1, 2020
PURPOSE: This paper aims to illustrate an example of how to set up a work injury database: the Smart Work Injury Management (SWIM) system. It is a secure and centralized cloud platform containing a set of management tools for data storage, data analy...
Humans Artificial Intelligence Hong Kong Disability Evaluation Focus Groups Employment Return to Work
View on PubMed DOI

Putting the world back to work: An expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases.

Work (Reading, Mass.) Jan 1, 2020
BACKGROUND: To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and a...
Occupational Health Expert Systems Work United States Occupational Safety and Health Administration Return to Work Pneumonia, Viral Delivery of Health Care Big Data Machine Learning Humans United States Pandemics Coronavirus Infections Artificial Intelligence COVID-19
View on PubMed DOI

A Machine Learning-Based Predictive Model of Return to Work After Sick Leave.

Journal of occupational and environmental medicine May 1, 2019
OBJECTIVE: This study aims to build a predictive model for "return to work" (RTW) after sick leave by using a machine-learning algorithm.
Republic of Korea Female Humans Young Adult Return to Work Male Adult Machine Learning Sick Leave Middle Aged Algorithms Occupational Health Databases, Factual
View on PubMed DOI
Popular Topics
Recent Journals