模糊集在医疗保健系统中的应用

Q3 Economics, Econometrics and Finance
L. L. Lazzari, Patricia Inés Mouliá
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引用次数: 5

摘要

模糊集概念是由Lotfi a . Zadeh于1965年引入的,它提供了一种工具来描述模糊谓词或具有不精确边界的类,并基于软算子实现不确定性非加性计算。Zadeh认识到,传统的系统分析定量技术本质上不适合处理人文系统。模糊谓词和主观性是模糊集合理论的重要组成部分,医学领域是模糊集合理论的理想应用领域。本文利用模糊集的概念,对个体健康状况的某些参数提供了更灵活的定义,从而可以对患某种疾病的风险制定诊断模型,并将其表征为心血管风险案例。该模型被应用于一个私人健康保险公司的扩张战略的发展,它考虑到医疗保健系统的可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FUZZY SETS APPLICATION TO HEALTHCARE SYSTEMS
The fuzzy set concept was introduced by Lotfi A. Zadeh in 1965 to provide a tool to describe vague predicates or classes with imprecise boundaries and which enable an uncertainty nonadditive calculation, based on soft operators. Zadeh recognises that conventional quantitative techniques of systems analysis are intrinsically inappropriate to address humanistic systems. The medical field is appropriate to apply the fuzzy set theory, as vague predicates and subjectivity are an important part of it. In this paper, the fuzzy set concept is used to provide a more flexible definition of certain parameters which state an individual’s health condition, and which will allow to formulate a diagnosis model for the risk of suffering a certain disease, and it is characterized as a case of cardiovascular risk. This model is applied to the development of an expansion strategy for a private health insurance company, which considers sustainability of the healthcare system.
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来源期刊
Fuzzy Economic Review
Fuzzy Economic Review Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
0.40
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0.00%
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