[1]蒋白桦.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[J].深圳大学学报理工版,1987,(3-4):68-75.
 Jiang Baihua.Model and Algorithm for Automatic Generating of Disease Diagnosis Standard[J].Journal of Shenzhen University Science and Engineering,1987,(3-4):68-75.
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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()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
期数:
1987年3-4期
页码:
68-75
栏目:
环境与能源
出版日期:
1987-12-31

文章信息/Info

Title:
Model and Algorithm for Automatic Generating of Disease Diagnosis Standard
作者:
蒋白桦
深圳大学电脑中心
Author(s):
Jiang Baihua
文献标志码:
A
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.
更新日期/Last Update: 2016-05-18