基于模糊集的医学诊断改进方法：主要研究方向分析与综述

IF 28 1区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS

ACM Computing Surveys Pub Date : 2025-07-29 DOI:10.1145/3757058

Amit K. Shukla, Priyanka Mehra, Pranab K Muhuri

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引用次数: 0

摘要

如今久坐不动的生活方式导致了各种各样的疾病，因此准确的诊断非常重要，这样才能提供适当的治疗。基于计算和人工智能（AI）的方法可以用于更高的准确性和可靠性的诊断，并且该过程可以自动化。然而，医疗诊断包含复杂的决策程序，往往与不确定性和不精确的信息有关。虽然模糊集和系统已经有效地用于医疗诊断，但需要进一步关注智能和专家系统，以获得更好和更准确的诊断。在本文中，我们全面概述了基于模糊集的方法用于医学领域的诊断，并对模糊医学诊断的出版物进行了文献计量分析。

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Fuzzy Sets-Based Approaches for Improved Medical Diagnosis: An Analysis and Overview of Major Research Directions

Today's sedentary lifestyle gives rise to a variety of diseases, making its accurate diagnosis quite essential so that proper treatment can be provided. Computational and artificial intelligence (AI) based approaches can be used to diagnose with better accuracy and reliability, and the process can be automated. However, medical diagnosis encompasses complex decision-making procedures that are often associated with uncertainty and imprecise information. Though fuzzy sets and systems have been effectively used for medical diagnosis, further attention is required to arrive at intelligent and expert systems for better and more accurate diagnosis. In this paper, we present a comprehensive overview of the fuzzy sets-based approaches utilized for diagnosis in the medical domain, and conduct a bibliometric analysis of the publications in fuzzy medical diagnosis.

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来源期刊

ACM Computing Surveys 工程技术-计算机：理论方法

CiteScore

33.20

自引率

0.60%

发文量

372

审稿时长

12 months

期刊介绍： ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.