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Browsing University of Hertfordshire by Author "Prapopoulou, M."
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The application of feature selection to the development of Gaussian process models for percutaneous absorption.
Lam, L.T.; Sun, Yi; Davey, N.; Adams, Roderick; Prapopoulou, M.; Brown, Marc; Moss, Gary (2010)Objectives: The aim was to employ Gaussian processes to assess mathematically the nature of a skin permeability dataset and to employ these methods, particularly feature selection, to determine the key physicochemical ... -
The application of Gaussian processes in the prediction of absorption across mammalian skin and synthetic membranes
Sun, Y.; Prapopoulou, M.; Adams, R.; Davey, N.; Moss, G. P.; Brown, Marc (2010-06) -
The application of stochastic machine learning methods in the prediction of skin penetration
Sun, Y.; Brown, Marc; Prapopoulou, M.; Davey, N.; Adams, R. G.; Moss, G. P. (2011-03)Improving predictions of skin permeability is a significant problem for which mathematical solutions have been sought for around twenty years. However, the current approaches are limited by the nature of the models chosen ... -
Predicting drug absorption rates through human skin
Sun, Yi.; Lam, L.Y.; Moss, G.P.; Prapopoulou, M.; Adams, R.G.; Davey, N.; Gray, David; Brown, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2010)Predicting the rate at which a substance will pass through human skin and into the bloodstream is a problem of current interest. We use Gaussian Process modeling to train a set of predictors using every combination of six ... -
Prediction of skin penetration using machine learning methods
Sun, Yi; Moss, Gary; Prapopoulou, M.; Adams, Roderick; Brown, Marc; Davey, N. (Institute of Electrical and Electronics Engineers (IEEE), 2008)Improving predictions of the skin permeability coefficient is a difficult problem. It is also an important issue with the increasing use of skin patches as a means of drug delivery. In this work, we applyK-nearest-neighbour ...