Finding Risk Factors for Long-Term Sickness Absence Using Classification Trees
In this thesis a model for predicting if someone has an over-risk for long-term sickness absence during the forthcoming year is developed. The model is a classification tree that classifies objects as having high or low risk for long-term sickness absence based on their answers on the Health-Watch f...
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| Format: | Others |
| Language: | English |
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KTH, Matematisk statistik
2013
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-131751 |