Analysis and investigation of fuzzy expert system for predicting the child anaemia

被引：3
|
作者：
Boadh R. [1 ]
Chaudhary K. [1 ]
Dahiya M. [2 ]
Dogra N. [3 ]
Rathee S. [4 ]
Kumar A. [5 ]
Rajoria Y.K. [1 ]
机构：
[1] Department of the Mathematics, School of Basic and Applied Science, K.R. Mangalam University, Sohna Road, Haryana, Gurugram
[2] Department of Computer Science and Engineering, Faculty of Engineering and Technology, Shree Guru Govind Singh Tricentenary University, Haryana, Gurugram
[3] Department of Orthodontics and Dentofacial Orthopaedic, Shree Guru Gobind Tricentenary University, Haryana, Gurugram
[4] Department of Electrical Engineering, DPG Institute of Technology and Management, Haryana, Gurgaon
[5] Department of Mechanical Engineering, Faculty of Engineering and Technology, Shree Guru Govind Singh Tricentenary University, Haryana, Gurugram
来源：
Materials Today: Proceedings | 2022年 / 56卷
关键词：
Child anaemia; Diagnosis; Fuzzy expert system; Fuzzy logic;
D O I：
10.1016/j.matpr.2022.01.094
中图分类号：
学科分类号：
摘要：
In this article, the fuzzy expert system has been dealing with and is involved in the analysis of childhood anaemia (erythrocytopenia). Recent studies on fuzzy set theory and fuzzy logic are highly applicable and therefore related sources for the development of knowledge-based structures in accountability drugs as an explanation of a set of medical positions and its results, the diagnosis of disease, coronary artery disease, blood pressure and childhood anaemia. In the present study, childhood anaemia was diagnosed using haemoglobin and haematocrit as the input parameters. The results were compared with previous studies and were found to be in total agreement. That FIS can also be used by physicians or in pathology labs for the diagnosis of other disease. © 2022
引用
收藏
页码：231 / 236
页数：5
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