Selective differentiating diagnostic process based on broad data bases

• Main Authors: PETER KAUFMANN, HAKAN BEVING, NILS U. OLSSON
• Format: Patent
• Language: English
• Published: 05.06.1997
• Edition: 6
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

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 of i) the number of neurons in a hidden layer; ii) the number of hidden layers; iii) the type of transfer functions in the layers; and iv) the weights connecting the neurons; e) whereby the artificial neural network is trained in the computer to automatically provide an analytic model; f) withdrawing from a new patient that has not been diagnosed for such disorder, a sample or samples of a kind taken from said reference patients and subjecting said diagnostic sample to said clinical testing to obtain new numerical data; g) automatically scaling in the computer the new data to the data derived from the reference patients; h) feeding the scaled new data to the trained artificial neural network and the analytic model thereof, and i) automatically obtaining a diagnosis of the new patient with respect to such disorders.