慢性疾病中的模糊逻辑在决策中的应用:全面的医疗保健审查
Sunny Thukral1, Amardeep Gupta2
1PG Department of Computer Science and IT, DAV College, Amritsar, Punjab, India.
Informatics for health & social care
|December 15, 2025
概括
模糊逻辑有效地管理疾病诊断的医疗数据中的不确定性. 这一系统性审查强调了其在各种疾病中的应用,为未来的诊断研究铺平了道路.
科学领域:
- 医疗信息学 医疗信息学
- 计算智能是一种计算智能.
背景情况:
- 医学诊断涉及复杂的决策与固有的不确定性.
- 大量的医疗保健数据需要先进的计算方法才能有效地利用.
研究的目的:
- 在疾病诊断中系统地审查模糊逻辑的应用.
- 确定基于模糊逻辑的医学诊断的研究缺口和未来方向.
主要方法:
- 系统的文献审查遵循PRISMA指南.
- 从340个在知名期刊上发表的初始记录中选择了25项研究.
- 在各种医疗应用中分析模糊逻辑过程.
主要成果:
- 模糊逻辑在诊断各种疾病方面具有实用性.
- 包括的疾病范围从癌症和心血管疾病到糖尿病和肺部疾病.
- 确定了模糊系统在管理医疗数据不准确性和不确定性的作用.
结论:
- 模糊逻辑是解决医学诊断中的不确定性的一个有价值的工具.
- 该审查为未来的模糊诊断系统研究提供了基础.
- 需要进一步的研究来完善和扩展医疗保健中的模糊逻辑应用.
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