自动生成“疾病诊断标准”的模型与算法——医学诊断知识库推理、学习机制探讨-《深圳大学学报理工版》

文章信息/Info

Title:: Model and Algorithm for Automatic Generating of Disease Diagnosis Standard

摘要:: 本文在“ 疾病诊断 FUZZY 信息与 FUZZY 信息矩阵 ” 模型的基础上,提出了一种自动生成“ 疾病诊断标准” 的模型与算法, 为实现电脑辅助诊断的逆过程-——电脑确定“ 疾病诊断标准” 这一更高层次的“ 智能化” 目标建立了理论基础。

Abstract:: Usually disease diagnosis standards are diffined by medical experts. In this paper, a FUZZY information model is used instead to generate disease diagnosis standard, which adopts four steps:
1. Using Fuzzy information model to form a Disease Diagnosis Know-ledge Base (DDKB); 2 . Forming a principal of minimum information for disease diagnosis and figuaing the lowest information needed for a disease wich you want to diagnose； 3. Simulating the model of human thinking and forming the model of disease diagnosis information graded for reducing dundant in 2; and 4 . Using the information from 3 as a disease diagnosis standard to make the program.
So far more than 2 kinds of disease diagnosis have used this model and the resulting diagnosis turns oul more accurate than clinic diagnosis.