A visual analytics on mortality of malignant neoplasm and organic food

Chien wen Shen, Irfandi Djailani, Cheng Wei Tang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The rise of organic food consumption globally is the evidence of consumer expectation for better health. Despite the fact that many research favorable toward the idea that more organic food means more health there are research who reject this notion. The basis of rejection toward this idea are varied, from the perspective of efficiency in organic food cultivation process to the research methodology itself. Due to the preface, this research tapping into the issue with the approach of advanced visual analytics with cluster analysis that enables comparison and analyze over 37 million electronic invoice (e-invoice) data of organic food expenditure and 7 thousand data related to death caused by malignant neoplasm of trachea, bronchus and lung. Our results indicate the negative correlations between organic food expenditure and mortality rate of the case chosen. This finding can be a significant insight for government as a justification to accelerate the organic food consumption. This research also contributes to the academic dialectical narrative regarding this issue as well as for the practitioner.

Original languageEnglish
Title of host publicationData Mining and Big Data - 4th International Conference, DMBD 2019, Proceedings
EditorsYing Tan, Yuhui Shi
PublisherSpringer Verlag
Pages13-22
Number of pages10
ISBN (Print)9789813295629
DOIs
StatePublished - 2019
Event4th International Conference on Data Mining and Big Data, DMBD 2019 - Chiang Mai, Thailand
Duration: 26 Jul 201930 Jul 2019

Publication series

NameCommunications in Computer and Information Science
Volume1071
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference4th International Conference on Data Mining and Big Data, DMBD 2019
Country/TerritoryThailand
CityChiang Mai
Period26/07/1930/07/19

Keywords

  • Cluster analysis
  • Disease mortality
  • Electronic invoice
  • Organic food
  • Visual analytics

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