Prediction of human blood : air patition coefficient : a comparison of structure-based and property-based methods

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<title>Prediction of human blood</title>
<subTitle>: air patition coefficient : a comparison of structure-based and property-based methods</subTitle>
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<name type="personal" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080185206">
<namePart>Basak, Subhash C.</namePart>
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<dateIssued encoding="marc">2003</dateIssued>
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<abstract>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</abstract>
<note type="statement of responsibility">Subhash C. Basak ... [et al.]</note>
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<topic>Higiene industrial</topic>
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<topic>Contaminantes químicos</topic>
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<topic>Enfermedades profesionales</topic>
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<topic>Riesgo laboral</topic>
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<title>Risk analysis : an international journal</title>
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<publisher>New York and London : Society for Risk Analysis</publisher>
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<identifier type="local">MAP20077000345</identifier>
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<text>Vol. 23, nº 6, December, 2003 ; p. 1173-1184</text>
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