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Full-Text Articles in Integumentary System
Rule-Based Mamdani-Type Fuzzy Modeling Of Skin Permeability, Deepak R. Keshwani, David D. Jones, George E. Meyer, Rhonda M. Brand
Rule-Based Mamdani-Type Fuzzy Modeling Of Skin Permeability, Deepak R. Keshwani, David D. Jones, George E. Meyer, Rhonda M. Brand
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Two Mamdani type fuzzy models (three inputs–one output and two inputs–one output) were developed to predict the permeability of compounds through human skin. The models were derived from multiple data sources including laboratory data, published data bases, published statistical models, and expert opinion. The inputs to the model include information about the compound (molecular weight and octonal–H2O partition coefficient) and the application temperature. One model included all three parameters as inputs and the other model only included information about the compound. The values for mole molecular weight ranged from 30 to 600 Da. The values for the log …
Takagi–Sugeno Fuzzy Modeling Of Skin Permeability, Deepak R. Keshwani, David D. Jones, Rhonda M. Brand
Takagi–Sugeno Fuzzy Modeling Of Skin Permeability, Deepak R. Keshwani, David D. Jones, Rhonda M. Brand
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The skin is a major exposure route for many potentially toxic chemicals. It is, therefore, important to be able to predict the permeability of compounds through skin under a variety of conditions. Available skin permeability databases are often limited in scope and not conducive to developing effective models. This sparseness and ambiguity of available data prompted the use of fuzzy set theory to model and predict skin permeability. Using a previously published database containing 140 compounds, a rule-based Takagi–Sugeno fuzzy model is shown to predict skin permeability of compounds using octanol-water partition coefficient, molecular weight, and temperature as inputs. Model …