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

Journal: BMC medical research methodology

PMID: 39614191

Abstract

BACKGROUND: Whether machine learning approaches are superior to classical statistical models for survival analyses, especially in the case of lack of proportionality, is unknown.

Authors

George Bouliotis

Warwick Clinical Trials Unit, University of Warwick, Coventry, UK.
M Underwood

Warwick Clinical Trials Unit, University of Warwick, Coventry, UK. m.underwood@warwick.ac.uk.
R Froud

Høyskolen Kristiania, Oslo, Norway.

Keywords

Adult Algorithms Female Humans Machine Learning Male Middle Aged Models, Statistical Proportional Hazards Models Return to Work Support Vector Machine Survival Analysis Time Factors

External Resources

View on PubMed Access via DOI PubMed (39614191)

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

Abstract

Authors

Keywords

External Resources

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