Prediction of human blood : air patition coefficient : a comparison of structure-based and property-based methods
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<dc:creator>Basak, Subhash C.</dc:creator>
<dc:date>2003-12-01</dc:date>
<dc:description xml:lang="es">In this study, three linear regression methods, viz. principal component regression (PCR), partial least squares (PLS), and ridge regression (RR), were used to devepop QSPR models for the estimation of human blood:air partition coefficient for a group of 31 divers low-molecular weight volatile chemicals from their computed molecular descriptors</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/56834.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Higiene industrial</dc:subject>
<dc:subject xml:lang="es">Contaminantes químicos</dc:subject>
<dc:subject xml:lang="es">Métodos de control</dc:subject>
<dc:subject xml:lang="es">Métodos de análisis</dc:subject>
<dc:subject xml:lang="es">Enfermedades profesionales</dc:subject>
<dc:subject xml:lang="es">Riesgo laboral</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Prediction of human blood : air patition coefficient : a comparison of structure-based and property-based methods</dc:title>
<dc:relation xml:lang="es">En: Risk analysis : an international journal. - New York and London : Society for Risk Analysis. - Vol. 23, nº 6, December, 2003 ; p. 1173-1184</dc:relation>
</rdf:Description>
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