Application of logistic regression to image reconstruction in EIT

This article presents a method of using the logistic regression to solve the inverse problem in electrical impedance tomography. Multicollinearity between predictors in linear models make it difficult to precisely forecast for output variable. To reduce the problem of highest correlation between measures obtained from electrodes the elasticnet method was applied.