Selective differentiating diagnostic process based on broad data bases

US5687716A · kind A · utility

Inventors

• Peter Kaufmann · Munich, DE
• Håkan Beving · Stockholm, SE
• Nils U. Olsson · Frederick, US

Key dates

• Filing date: Nov 15, 1995
• Grant date: Nov 18, 1997
• Expiry date: Nov 15, 2015

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y10S706/924
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

A process for analyzing for a variety of physical medical disorders, which comprises: PA1 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; PA1 b) scaling the matrix of said numerical data in a computer; PA1 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; PA1 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 PA2 i) the number of neurons in a hidden layer; PA2 ii) the number of hidden layers; PA2 iii) the type of transfer functions in the layers; and PA2 iv) the weights connecting the neurons; PA1 e) whereby the artificial neural network is trained in the computer to automatically provide an analytic model; PA1 f) withdrawing …