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Prediction of Return-to-original-work after an Industrial Accident Using Machine Learning and Comparison of Techniques
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...
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| Veröffentlicht in: | J Korean Med Sci |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
The Korean Academy of Medical Sciences
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5934520/ https://ncbi.nlm.nih.gov/pubmed/29736160 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3346/jkms.2018.33.e144 |
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