Investigation of the Maximum Association for Suicide Rate and Social Factors Using Computer Algorithm
Type of content
Conference Contributions - Published
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Publisher
University of Canterbury. Computer Science and Software Engineering.
Journal Title
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Volume Title
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Date
2007
Authors
Fukuda, K.
Takaoka, T.
Abstract
A computer algorithm, the K-Maximum Subarray (K-MSA), is applied for the first time to investigate the maximum relationship between the total New Zealand population of suicide deaths (1983-2002) by age group, with four selected social factors; number of bankruptcies, unemployed people, divorces, and orphans and unsupported child beneficiaries, respectively. The range of ages from 5 to 80 years is divided into five-year groups, plus a “more than 85 years old” group. Social factors are classified into four classes (low, med, high and very high) based on their quartile ranges.
Description
Citation
Fukuda, K., Takaoka, T. (2007) Investigation of the Maximum Association for Suicide Rate and Social Factors Using Computer Algorithm. Christchurch, New Zealand: MODSIM 2007 International Congress on Modelling and Simulation, 10-13 Dec 2007. MODSIM 2007 International Congress on Modelling and Simulation Proceedings, 2882-2888.
Keywords
Algorithm, Factor, Maximum subarray, Socioeconomics, Suicide