International Journal of Management, Economics and Social Sciences
Special Issue-International Conference on Medical and Health Informatics (ICMHI 2017)
2018, Vol. 7(S1), pp. 1 – 12.
ISSN 2304 – 1366


An Analysis of the Medical Expenses of a Bronchia and Pulmonary Cancer Group by Two- Stage Cluster Method


Wen-Tsann Lin1
An-Jin Shie2
Chia-Pao Chang1
Pei-Chun Pan1
You-An Lin1
1Dept. of Industrial Engineering and Management, National Chin-Yi University of Technology, Taiwan
2CHINA-ASEAN International College, Dhurakij Pundit University, Thailand



The objective of this study is to discover the influencing factors of groups by gender and age and the expenses related to bronchial and pulmonary cancer for insight into the root of the problem. An aging population has generated huge expenditures in cancer care. This study proposed a two-stage cluster method by using k-means and a Self-Organizing Map (SOM) to conduct a scientific analysis of the health insurance database of cancer prescription and patients in 2016. The findings of this study revealed that bronchial and pulmonary cancers were responsible for the largest medical expenditure; the average cost was $306,776 for females aged 50 to 54 and $301,788 for males aged 65 to 69. Meanwhile, the results indicated that incidences of bronchial and pulmonary cancer were concentrated in the ages between 45 and 89 for both males and females, with such incidences representing enormous cancer care expenditure. The implications are summarized in this article.

Keywords: Two-stage cluster method, tumors, cancers, data mining, self-organization map, k-means