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Healthcare data mining: predicting inpatient length of stay

By Peng Liu, Lei Lei, Junjie Yin, Wei Zhang, Wu Naijun and Elia El-Darzi

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

Topics: UOW3
Publisher: IEEE
OAI identifier: oai:westminsterresearch.wmin.ac.uk:3599
Provided by: WestminsterResearch

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