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題名：Business Intelligence Technologies for Analyzing and Managing Health Information Data: A Study of Smoke Cessation Management
書刊名：Academy of Taiwan Business Management Review
作者：Lai, Chun-liang／Weng, Jing-de
出版日期：2015
卷期：11:2
頁次：頁169-175
原始連結：連回原系統網址new window
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The use of artificial neural networks techniques in classification has been increasing recently. Artificial neural networks has the ability to learn about experiential knowledge expressed through inter neuron connection, and can make such knowledge available for use. The purpose of this study is to investigate the influencing factors and predict the performance of smoking cessation by using a hybrid neural discriminant model. The proposed methodology was composed of a linear discriminant analysis and a back-propagation artificial neural networks model. First, linear discriminant analysis is used for feature reduction that select the set of significant variables from predictive variables. Next, these significant variables are used to model the back-propagation neural networks. The finding of this research could contribute to understanding factors that are associated with success of smoking cessation and assist physicians and healthcare providers to improve smoking cessation intervention. The proposed hybrid neural discriminant model can forecast more precisely than the model which is developed by the conventional linear discriminant analysis model and artificial neural networks model.
期刊論文
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11.Schwerin, M. J.(1998)。Discriminant analysis of medical-care use among shipboard U. S. Navy men and women。Military psychology，10(3)，147-158。  new window
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圖書
1.Bureau of Health Promotion, Department of Health, R.O.C.(2006)。2006 Taiwan tobacco control annual report。Taipei, Taiwan：Bureau of Health Promotion, Department of Health R.O.C。  new window
2.Allison, Paul D.(1999)。Logistic Regression Using SAS: Theory and Application。Cary, NC：SAS Institute。  new window
3.Abdi, H.、Valentin, D.、Edelman, B.(1999)。Neural networks。Thousand Oaks，CA：Sage。  new window
4.Berry, M. J. A.、Linoff, G.(2004)。Data mining techniques。Indianapolis，IN：Wiley, John & Sons。  new window
5.Haykin, S.(1993)。Neural networks: a comprehensive foundation。Upper Saddle River, NJ：Prentice Hall。  new window
6.Kantardzic, M.(2003)。Data mining: concepts, models, methods and algorithms。Hoboken, NJ：Wiley-Interscience。  new window
7.Master, T.(1993)。Practical neural networks recipes in C++。San Francisco, CA：Morgan Kaufmann。  new window
8.World Health Organization, Tobacco Free Initiative(2009)。Why is tobacco a public health priority?。  new window
9.Zupan, J.、Gasteiger, J.(1993)。Neural networks for chemists: an introduction。New York：VGH。  new window
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11.Fausett, L. V.(1994)。Fundamentals of Neural Networks: Architecture, Algorithms, and Applications。Englewood Cliffs, New Jersey：Prentice-Hail。  new window
12.Sharma, Subhash(1996)。Applied Multivariate Techniques。John Wiley & Sons, Inc.。  new window
13.Hair, Joseph F. Jr.、Anderson, Rolph E.、Tatham, Ronald L.、Black, William C.、Babin, Barry J.(1998)。Multivariate data analysis。Prentice-Hall, Inc.。  new window
 
 
 
 
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