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Healthcare data mining: predicting inpatient length of stay

Liu, Peng and Lei, Lei and Yin, Junjie and Zhang, Wei and Naijun, Wu and El-Darzi, Elia (2006) Healthcare data mining: predicting inpatient length of stay. In: Proceedings of the 3rd International IEEE Conference on Intelligent Systems. IEEE, Los Alamitos, USA, pp. 832-837. ISBN 142440195X


Official URL: http://dx.doi.org/10.1109/IS.2006.348528


Data mining approaches have been widely applied in the field of healthcare. At the same time it is recognized that most healthcare datasets are full of missing values. In this paper we apply decision trees, Naive Bayesian classifiers and feature selection methods to a geriatric hospital dataset in order to predict inpatient length of stay, especially for the long stay patients.

Item Type:Book Section
Uncontrolled Keywords:NBI, LOS, Healthcare data mining
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:3599
Deposited On:28 Feb 2007
Last Modified:11 Aug 2010 15:31

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