Abstract: A process for analyzing for a variety of physical medical disorders, which comprises:a) clinical testing by a common analysis, patients free of such disorders and those patients that possess such one or more disorders, which analysis distinquishes any such disorder thereby obtaining the characterization of a collection of such disorders as numerical data;b) scaling the matrix of said numerical data in a computer;c) configuring in a computer, an artificial neural network prescribed by the number of variables and the number of disorders, which artificial neural network is electronic data that possesses an input layer, one or more hidden layers and an output layer;d) fitting the artificial neural network electronic data in a computer to the numerical data according to adjustable parameters of the artificial neural network, including one or more ofi) the number of neurons in a hidden layer;ii) the number of hidden layers;iii) the type of transfer functions in the layers; andiv) the weights connecting the neurons;