Comparative Analysis of Data Mining Algorithms for Predicting Inpatient Length of Stay

Abstract

It is well documented that efficient measurement of inpatient length of stay (LOS) can greatly enhance the planning and management of hospital resources. This paper describes the use of a data mining approach to predict the LOS using historical data. The data are first pre-processed using attribute-aggregation, attribute-generalization and relevance… (More)

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@inproceedings{Liu2004ComparativeAO, title={Comparative Analysis of Data Mining Algorithms for Predicting Inpatient Length of Stay}, author={Peng Liu and Elia El-Darzi and Christos Vasilakis and Panagiotis Chountas and Wei Huang and Lei Lei}, booktitle={PACIS}, year={2004} }