公开(公告)号：WO1997017891A1

公开(公告)日：1997-05-22

申请号：PCT/US1996018254

申请日：1996-11-15

Applicant: MEDIMAP, INC.

Inventor： MEDIMAP, INC. ,  KAUFMANN, Peter ,  BEVING, Hakan ,  OLSSON, Nils, U.

IPC: A61B05/00

CPC classification number: G16H50/20 ,  G06F19/00 ,  Y10S706/924

Abstract: A process for analyzing for a variety of physical medical disorders, which includes: (a) clinically testing by a common analysis, patients free of such disorders to obtain characterization thereof as numerical data; (b) scaling a matrix of the data by computer; (c) configuring an artificial neural network prescribed by the number of variables and number of disorders; (d) fitting the neural network in a computer to the numerical data according to adjustable network parameters which include the number of neurons in a hidden layer, the number of hidden layers, the type of layer transfer function, and the connecting weights; (e) thereby training the neural network; (f) withdrawing from a new patient a sample or samples and subjecting same to like clinical testing to obtain new numeric data; (g) scaling the new data; (h) feeding the scaled new data to the trained neural network; and (i) automatically obtaining a diagnosis of the new patient with respect to such disorders.

Abstract translation: 一种用于分析各种身体医学疾病的过程，其包括：（a）通过常见分析进行临床测试，没有这种障碍的患者以数字数据获得其表征; （b）通过计算机缩放数据矩阵; （c）配置由变量数量和紊乱数量规定的人造神经网络; （d）根据可调网络参数将计算机中的神经网络拟合到数值数据中，其中包括隐层中的神经元数量，隐层数，层传递函数类型和连接权重; （e）从而训练神经网络; （f）从新患者身上取出样品或样品，并对其进行临床试验以获得新的数值数据; （g）缩放新数据; （h）将经过缩放的新数据提供给训练有素的神经网络; 和（i）自动获得关于这种疾病的新患者的诊断。