|Chapter title||Healthcare data mining: predicting inpatient length of stay|
|Authors||Liu, P., Lei, L., Yin, J., Zhang, W., Naijun, W. and El-Darzi, E.|
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.
|Keywords||NBI, LOS, Healthcare data mining|
|Book title||Proceedings of the 3rd International IEEE Conference on Intelligent Systems|
|Place of publication||Los Alamitos, USA|
|Digital Object Identifier (DOI)||https://doi.org/10.1109/IS.2006.348528|