Predicting hospital length-of-stay outliers using decision tree induction.
Two data mining techniques, decision tree induction and rule induction, were applied to casemix and patient data from a Singapore hospital to develop models for predicting hospital length-of-stay outliers.
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| Format: | Theses and Dissertations |
| Published: |
2008
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| Online Access: | http://hdl.handle.net/10356/1988 |
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| Institution: | Nanyang Technological University |
| Summary: | Two data mining techniques, decision tree induction and rule induction, were applied to casemix and patient data from a Singapore hospital to develop models for predicting hospital length-of-stay outliers. |
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