Using Bayesian network and LRFM model in a pediatric dental clinic

Shian-Chang Huang, Jo Ting Wei, Shih Yen Lin, Hsin-Hung Wu

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

A case study in a pediatric dental clinic was presented. The data were transformed into LRFM (Length, Recency, Frequency, and Monetary) format with fixed M covered by National Health Insurance program in Taiwan, where the data were categorized into 1 to 5 for L, R, and F variables. Later, gender was classified into two types, and age was grouped into four categories. The target in this study was frequency, while L, R, gender, and age were the input variables when Bayesian network was performed. The results show that the overall accuracy is 65.26%, and three out of five classes have relatively high accuracy values. Moreover, the value of the overall receiver operating characteristic (ROC) area is 0.891, which indicates that this Bayesian network model performs well in this pediatric dental clinic study. Furthermore, recency and age are the two better variables to forecast frequency.

原文English
主出版物標題Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012
頁面20-23
頁數4
DOIs
出版狀態Published - 2012 七月 30
事件2012 International Symposium on Computer, Consumer and Control, IS3C 2012 - Taichung, Taiwan
持續時間: 2012 六月 42012 六月 6

出版系列

名字Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012

Other

Other2012 International Symposium on Computer, Consumer and Control, IS3C 2012
國家Taiwan
城市Taichung
期間12-06-0412-06-06

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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  • 引用此

    Huang, S-C., Wei, J. T., Lin, S. Y., & Wu, H-H. (2012). Using Bayesian network and LRFM model in a pediatric dental clinic. 於 Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012 (頁 20-23). [6228238] (Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012). https://doi.org/10.1109/IS3C.2012.15