Health|구충완
Clustering-based model for identifying individual differences in vulnerability to heat strain – Using a means difference analysis of personal biometric characteristics
2023International Journals
Research AreaHealth
Professor구충완
AuthorsChoi, Y., Seo, S., and Koo, C. (Corresponding Author)
Publication Year2023
Journal (Volume, Issue, Pages)Journal of the Architectural Institute of Korea, 39(3), 259-265
AbstractAs the frequency of heat waves rises, it is necessary to manage individual heat strains systematically. To address this challenge, this study aims to develop a clustering-based model for identifying individual differences in vulnerability to heat strain utilizing two proxy variables: metabolic rate estimated by heart rate or proxy A and eardrum temperature or proxy B. The k-means clustering method was used to divide individuals into different groups based on their vulnerability to heat strain and two groups such as high-risk and low-risk were classified for both of these two proxy variables. An independent samples t-test was used to analyze the differences in the mean values of 13 personal characteristics between the two groups. As a result, there were significant differences in 11 variables, which were mainly related to body fat for the groups classified by proxy A, but no significant differences for the groups classified by proxy B. This study is expected to establish a decision support system that can predict whether a person is at high-risk for heat strain based on their biometric characteristics.
Heat StressPersonal Biometric CharacteristicsVulnerable GroupK-Means ClusteringIndependent Samples T-Test