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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2008
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Online Access: | http://hdl.handle.net/10356/1988 |
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sg-ntu-dr.10356-19882019-12-10T14:36:43Z Predicting hospital length-of-stay outliers using decision tree induction. Yap, Joanne Geok Lan. Khoo, Christopher Soo Guan Wee Kim Wee School of Communication and Information DRNTU::Business::Marketing::Consumer behavior 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. Master of Science (Information Studies) 2008-09-10T08:37:55Z 2008-09-10T08:37:55Z 2004 2004 Thesis http://hdl.handle.net/10356/1988 Nanyang Technological University application/pdf |
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DRNTU::Business::Marketing::Consumer behavior Yap, Joanne Geok Lan. Predicting hospital length-of-stay outliers using decision tree induction. |
description |
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. |
author2 |
Khoo, Christopher Soo Guan |
author_facet |
Khoo, Christopher Soo Guan Yap, Joanne Geok Lan. |
format |
Theses and Dissertations |
author |
Yap, Joanne Geok Lan. |
author_sort |
Yap, Joanne Geok Lan. |
title |
Predicting hospital length-of-stay outliers using decision tree induction. |
title_short |
Predicting hospital length-of-stay outliers using decision tree induction. |
title_full |
Predicting hospital length-of-stay outliers using decision tree induction. |
title_fullStr |
Predicting hospital length-of-stay outliers using decision tree induction. |
title_full_unstemmed |
Predicting hospital length-of-stay outliers using decision tree induction. |
title_sort |
predicting hospital length-of-stay outliers using decision tree induction. |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/1988 |
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1681037732074225664 |