Using Bayesian network and LRFM model in a pediatric dental clinic

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012
Pages20-23
Number of pages4
DOIs
Publication statusPublished - 2012 Jul 30
Event2012 International Symposium on Computer, Consumer and Control, IS3C 2012 - Taichung, Taiwan
Duration: 2012 Jun 42012 Jun 6

Publication series

NameProceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012

Other

Other2012 International Symposium on Computer, Consumer and Control, IS3C 2012
CountryTaiwan
CityTaichung
Period12-06-0412-06-06

Fingerprint

Pediatrics
Bayesian networks
Health insurance

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Huang, S-C., Wei, J. T., Lin, S. Y., & Wu, H-H. (2012). Using Bayesian network and LRFM model in a pediatric dental clinic. In Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012 (pp. 20-23). [6228238] (Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012). https://doi.org/10.1109/IS3C.2012.15
Huang, Shian-Chang ; Wei, Jo Ting ; Lin, Shih Yen ; Wu, Hsin-Hung. / Using Bayesian network and LRFM model in a pediatric dental clinic. Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012. 2012. pp. 20-23 (Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012).
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abstract = "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.",
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Huang, S-C, Wei, JT, Lin, SY & Wu, H-H 2012, Using Bayesian network and LRFM model in a pediatric dental clinic. in Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012., 6228238, Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012, pp. 20-23, 2012 International Symposium on Computer, Consumer and Control, IS3C 2012, Taichung, Taiwan, 12-06-04. https://doi.org/10.1109/IS3C.2012.15

Using Bayesian network and LRFM model in a pediatric dental clinic. / Huang, Shian-Chang; Wei, Jo Ting; Lin, Shih Yen; Wu, Hsin-Hung.

Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012. 2012. p. 20-23 6228238 (Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Huang S-C, Wei JT, Lin SY, Wu H-H. Using Bayesian network and LRFM model in a pediatric dental clinic. In Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012. 2012. p. 20-23. 6228238. (Proceedings - 2012 International Symposium on Computer, Consumer and Control, IS3C 2012). https://doi.org/10.1109/IS3C.2012.15