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Development of a Screening Method for Health Hazard Ranking and Scoring of Chemicals Using the Mahalanobis-Taguchi System

Authors
Huh, Da-AnLim, Hong LyuerSohn, Jong-RyeulByeon, Sang-HoonJung, SoonyoungLee, Woo-KyunMoon, Kyong Whan
Issue Date
Oct-2018
Publisher
MDPI
Keywords
chemical ranking and scoring; Mahalanobis-Taguchi System; priority setting
Citation
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, v.15, no.10
Indexed
SCIE
SSCI
SCOPUS
Journal Title
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
Volume
15
Number
10
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/72664
DOI
10.3390/ijerph15102208
ISSN
1661-7827
Abstract
For efficient management of chemicals, it is necessary to preferentially select hazardous chemicals as being high-priority through a screening method. Over the past 20 years, chemical ranking and scoring (CRS) methods have been applied in many countries; however, these CRS methods have a few limitations. Most of the existing methods only use some of the variables to calculate the hazard of chemicals or use the most conservative score without consideration of the correlation between chemical toxicities. This evaluation could underestimate or overestimate the real health hazard of the chemicals. To overcome the limitations of these methods, we developed a new CRS method using the Mahalanobis-Taguchi System (MTS). The MTS, which conducts multivariate analysis, produced chemical rankings that took into accounts the correlation between variables related to chemical health hazards. Also, the proportion of chemicals managed by the Korea Chemicals Control Act that were given a high rating appeared to be higher when the MTS was used, compared to the existing methods. These results indicated that the new method evaluated the health hazards of chemicals more accurately, and we expect that the MTS method could be applied to a greater range of chemicals than the existing CRS methods.
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College of Health Sciences > School of Health and Environmental Science > 1. Journal Articles
Graduate School > Department of Computer Science and Engineering > 1. Journal Articles
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