[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(
)
《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]
- 卷:
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- 期数:
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1987年3-4期
- 页码:
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68-75
- 栏目:
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环境与能源
- 出版日期:
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1987-12-31
文章信息/Info
- Title:
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Model and Algorithm for Automatic Generating of Disease Diagnosis Standard
- 作者:
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蒋白桦
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深圳大学电脑中心
- Author(s):
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Jiang Baihua
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- 文献标志码:
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A
- 摘要:
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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:
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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