Decision trees to characterise the roles of permeability and solubility on the prediction of oral absorption.

Newby, Danielle, Freitas, Alex A., Ghafourian, Taravat (2015) Decision trees to characterise the roles of permeability and solubility on the prediction of oral absorption. European Journal of Medicinal Chemistry, 90 . pp. 751-765. ISSN 0223-5234. (doi:10.1016/j.ejmech.2014.12.006) (KAR id:47124)

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Official URL: https://doi.org/10.1016/j.ejmech.2014.12.006

Item Type:	Article
DOI/Identification number:	10.1016/j.ejmech.2014.12.006
Uncontrolled keywords:	data mining, machine learning, classification, pharmaceutical sciences, pharmacokinetics
Subjects:	Q Science > Q Science (General) > Q335 Artificial intelligence Q Science > QD Chemistry
Institutional Unit:	Schools > School of Computing Schools > Medway School of Pharmacy
Former Institutional Unit:	Computational Intelligence Group Medway School of Pharmacy Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing Divisions > Division of Natural Sciences > Medway School of Pharmacy
Depositing User:	Alex Freitas
Date Deposited:	12 Feb 2015 18:59 UTC
Last Modified:	20 May 2025 09:54 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/47124 (The current URI for this page, for reference purposes)

University of Kent Author Information

Freitas, Alex A..

Creator's ORCID:	https://orcid.org/0000-0001-9825-4700
CReDIT Contributor Roles:

Ghafourian, Taravat.

Creator's ORCID:
CReDIT Contributor Roles:

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