Modeling and Prediction of Solvent Effect on Human Skin Permeability using Support Vector Regression and Random Forest. (Q38386043)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:26033768%20AND%20SRC:MED&resulttype=core&format=json

16 February 2020

title

Modeling and Prediction of Solvent Effect on Human Skin Permeability using Support Vector Regression and Random Forest (English)

1 reference

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16 February 2020

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support vector machine

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1

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16 February 2020

author name string

Jun-ichi Takahara

series ordinal

2

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16 February 2020

Fumiyoshi Yamashita

series ordinal

3

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16 February 2020

Mitsuru Hashida

series ordinal

4

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16 February 2020

language of work or name

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2 June 2015

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:26033768%20AND%20SRC:MED&resulttype=core&format=json

16 February 2020

published in

Pharmaceutical Research

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16 February 2020

volume

32

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16 February 2020

issue

11

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16 February 2020

page(s)

3604-3617

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Current status and future potential of transdermal drug delivery

16 February 2020

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The application of Gaussian processes in the prediction of percutaneous absorption

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12 December 2020

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Identifiers

DOI

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:26033768%20AND%20SRC:MED&resulttype=core&format=json

16 February 2020

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