KARYA ILMIAH

Pengarang
Herlina Jusuf
Subjek
- Kesehatan
Abstrak
ABSTRACT MARS (Multivariate Adaptive Regression Spline) is one of the non-parametric regression models that employs modified recursive partitioning algorithm. This study applied MARS model in the data of Lead (Pb) exposure in the workers’ hair at the petrol station in Gorontalo City, Indonesia. The study is intended to investigate the content of Lead in one’s body. The results of the study reveal that the MARS model in the Lead exposure in the workers’ hair at the petrol station in Gorontalo City consists of Y = 1.93593 - 0.219669 * BF8 - 0.0220152 * BF13. Based on that MARS model, there are only three variables out of 10 assumed to affect the Lead exposure in the workers’ hair at the petrol station in Gorontalo City including the working time, disease symptoms, and age. Key words: Multivariate, Adaptive, Regression, Spline, Lead exposure, Hair.
Penerbit
EM International
Kontributor
-
Terbit
2018
Tipe Material
ARTIKEL
Identifier
-
Right
-
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