医疗保健数据挖掘:预测住院时间

2006 3rd International IEEE Conference Intelligent Systems Pub Date : 2006-09-01 DOI:10.1109/IS.2006.348528

Peng Liu, Lei Lei, Junjie Yin, Wei Zhang, Wu Naijun, E. El-Darzi

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引用次数: 46

摘要

数据挖掘方法在医疗保健领域得到了广泛的应用。与此同时，人们认识到大多数医疗保健数据集都充满了缺失值。本文将决策树、朴素贝叶斯分类器和特征选择方法应用于老年医院数据集，以预测住院患者的住院时间，特别是长期住院患者

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Healthcare Data Mining: Prediction Inpatient Length of Stay

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

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2006 3rd International IEEE Conference Intelligent Systems

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