Title :
Healthcare Data Mining: Prediction Inpatient Length of Stay
Author :
Peng Liu ; Lei Lei ; Junjie Yin ; Wei Zhang ; Wu Naijun ; El-Darzi, E.
Author_Institution :
Sch. of Inf. Manage. & Eng., Shanghai Univ. of Finance & Econ.
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
Keywords :
Bayes methods; data mining; decision trees; health care; medical information systems; Naive Bayesian classifiers; data mining; decision trees; feature selection methods; geriatric hospital dataset; healthcare; inpatients; Bayesian methods; Classification tree analysis; Data mining; Decision trees; Hospitals; Intelligent systems; Learning systems; Medical services; Niobium compounds; Robustness; Healthcare data mining; LOS; NBI;
Conference_Titel :
Intelligent Systems, 2006 3rd International IEEE Conference on
Conference_Location :
London
Print_ISBN :
1-4244-0195-X
DOI :
10.1109/IS.2006.348528
