Issue |
MATEC Web of Conferences
Volume 22, 2015
International Conference on Engineering Technology and Application (ICETA 2015)
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Article Number | 05003 | |
Number of page(s) | 6 | |
Section | Chemical and Industrial Technology | |
DOI | https://doi.org/10.1051/matecconf/20152205003 | |
Published online | 09 July 2015 |
A Research and Implementation of Internal Medicine Diagnosis Assisted by Intelligence Knowledge Base
Central Laboratory, Langfang Health Vocational College, Langfang, Hebei, China
Intelligent knowledge system is an important knowledge base for internal medicine diagnosis. Intelligent diagnosis of the knowledge base can be realized by establishing appropriate expert models to assist diagnosis and treatment. By building the hierarchical model of internal diseases, this paper established an internal medicine diagnostic system assisted by intelligence knowledge base with the mathematical model of analytic hierarchy. The hierarchical model is able to summarize characteristics of diseases and quantize the determinant criterion of diseases. The weighted value of a possible disease can be obtained through the judgment of physicians on the weight of factors of the criterion layer and the compared calculation of database. It is concluded that the analytic hierarchy model can realize the auxiliary diagnosis function of intelligence knowledge base and the weight of a disease providing diagnostic reference for physicians.
Key words: intelligent diagnosis / internal medicine / analytic hierarchy process / database / fuzzy recognition
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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