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The application of pattern recognition to mixed chemical exposure.
School of Public Health, University of California, Berkeley, California 1991 Aug; :1-133
Measurements were taken of the occupational exposure to organic solvent mixtures by collecting air and urine samples from workers and comparisons in a facility for the printing, reproducing, and binding of books. Complex patterns of exposure to organic solvents were documented. Sources of the exposures were identified through the use of principal component analysis (PCA) and classification and regression trees (CART). A battery of tests was also used to analyze the air and urine data for vibrotactile sensation, odor threshold, and color vision loss. CART was able to classify worker performance on these tests using a combination of demographic data and air exposure data. The PCA and CART analyses created models for the sources of multiple exposures and for the dose response relationship between complex exposures and health effects.
NIOSH-Grant; Grants-other; Task-performance; Urinalysis; Air-quality-monitoring; Solvent-vapors
Biomedical & Environ Hlth Scis University of California 322 Warren Hall Berkeley, Calif 94720
Final Grant Report
Other Occupational Concerns; Grants-other
School of Public Health, University of California, Berkeley, California
University of California Berkeley, Berkeley, California
Page last reviewed: May 5, 2020
Content source: National Institute for Occupational Safety and Health Education and Information Division