Prediction of Return-to-original-work after an Industrial Accident Using Machine Learning and Comparison of Techniques.
Journal:
Journal of Korean medical science
PMID:
29736160
Abstract
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 previous studies could predict whether an individual had returned to his/her original work by four years after termination of the worker's recovery period.