Computers and Mathematics with Applications
Computers and Mathematics with Applications
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DOI：
10.1016/j.camwa.2008.04.030
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发表时间：
2008-10
期刊：
影响因子：
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通讯作者：
P. Pattaraintakorn;Nick Cercone
中科院分区：
文献类型：
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作者：
P. Pattaraintakorn;Nick Cercone
关于糖尿病和生存时间之间的关联，我们(不知道)知道什么？我们的研究提供了一种基于粗糙集的替代数学框架来分析医疗数据，并提供带有危险因素糖尿病的流行病学生存分析。我们在三个数据集上进行实验：老年病、黑色素瘤和原发性胆汁性肝硬变。达尔豪西医学院8547名加拿大老年患者的个案研究报告。通知状态(死或活)被视为审查器属性，存活时间被视为存活时间。分析结果表明，在我国老年患者资料中，糖尿病是影响生存时间的一个非常显著的危险因素。本文为构建粗糙集混合智能系统进行实际数据分析提供了理论和实践指导。此外，我们还讨论了粗糙集、人工神经网络(ANN)和脆弱指数在预测生存趋势方面的潜力。
What do we (not) know about the association between diabetes and survival time? Our study offers an alternative mathematical framework based on rough sets to analyze medical data and provide epidemiology survival analysis with risk factor diabetes. We experiment on three data sets: geriatric, melanoma and Primary Biliary Cirrhosis. A case study reports from 8547 geriatric Canadian patients at the Dalhousie Medical School. Notification status (dead or alive) is treated as the censor attribute and the time lived is treated as the survival time. The analysis result illustrates diabetes is a very significant risk factor to survival time in our geriatric patients data. This paper offers both theoretical and practical guidelines in the construction of a rough sets hybrid intelligent system, for the analysis of real world data. Furthermore, we discuss the potential of rough sets, artificial neural networks (ANNs) and frailty index in predicting survival tendency.