临床决策支持系统 (CDSS) 协助COVID-19诊断:对类型和评估方法的范围审查
Arefeh Ameri1, Atefeh Ameri2, Farzad Salmanizadeh3
1Health Information Sciences Department, Faculty of Management and Medical Information Sciences Kerman University of Medical Sciences Kerman Iran.
Health science reports
|February 22, 2024
概括
临床决策支持系统 (CDSS) 帮助COVID-19诊断,主要使用机器学习. 虽然准确,但它们的可靠性需要进一步研究临床使用.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 传染病诊断 传染病诊断 传染病诊断
背景情况:
- 准确和及时的COVID-19诊断至关重要.
- 临床决策支持系统 (CDSS) 可以提高诊断准确性.
- 本综述探讨了CDSS在COVID-19诊断中的作用.
研究的目的:
- 对CDSS用于COVID-19诊断的利用进行范围审查.
- 确定使用的CDSS类型和方法.
- 评估用于评估COVID-19的CDSS的绩效指标.
主要方法:
- 在四个主要数据库 (Web of Science,PubMed,Scopus,Embase) 进行系统搜索.
- 关键词集中在CDSS,COVID-19和诊断上.
- 三名研究人员使用标准化表格提取数据,第四名研究人员进行共识.
主要成果:
- 从最初检索的2199个中,包括了68个文章.
- 非基于知识的CDSS (52项研究) 比基于知识的 (16项研究) 更为普遍.
- 机器学习算法,特别是卷积神经网络 (CNN) 和支持矢量机器 (SVM) 经常被使用. 精度和灵敏度是主要评估指标.
结论:
- 对于COVID-19诊断的CDSS主要利用机器学习,这可能是由于可用的胸部成像数据集.
- 基于ML的CDSS报告的高准确性,但新性和数据偏差在临床医生助理的角色方面需要谨慎.
- 需要进一步的研究来增强和比较基于非知识和基于知识的CDSS对COVID-19诊断的稳定性和可靠性.
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