Healthcare data mining: predicting inpatient length of stay

Liu, P., Lei, L., Yin, J., Zhang, W., Naijun, W. and El-Darzi, E. 2006. Healthcare data mining: predicting inpatient length of stay. in: Proceedings of the 3rd International IEEE Conference on Intelligent Systems Los Alamitos, USA IEEE . pp. 832-837

Chapter titleHealthcare data mining: predicting inpatient length of stay
AuthorsLiu, P., Lei, L., Yin, J., Zhang, W., Naijun, W. and El-Darzi, E.
Abstract

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.

KeywordsNBI, LOS, Healthcare data mining
Book titleProceedings of the 3rd International IEEE Conference on Intelligent Systems
Page range832-837
Year2006
PublisherIEEE
Publication dates
Published2006
Place of publicationLos Alamitos, USA
ISBN142440195X
Digital Object Identifier (DOI)https://doi.org/10.1109/IS.2006.348528
File

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