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在人工智能技术的帮助下,使用常规血液检查对COVID-19诊断的调查

Soheila Abbasi Habashi¹, Murat Koyuncu², Roohallah Alizadehsani³

¹Department of Computer Engineering, Atilim University, 06830 Ankara, Turkey.

Diagnostics (Basel, Switzerland)

|May 27, 2023

概括

人工智能 (AI) 模型可以使用常规血液测试来诊断COVID-19,为RT-PCR和成像提供更快,更便宜的替代方案. 这篇评论探讨了从血液数据中检测COVID-19的AI方法.

科学领域:

医学诊断医学诊断医学诊断
人工智能的人工智能
生物化学生物化学

背景情况:

严重急性呼吸系统综合征冠状病毒2 (SARS-CoV-2) 导致COVID-19,这是一个全球卫生危机.
像RT-PCR这样的传统诊断方法有局限性,包括假阴性.
图像技术 (CT,X射线) 是昂贵的,并且存在可访问性问题.

研究的目的:

审查新兴的基于人工智能 (AI) 的方法,以使用常规血液检测诊断COVID-19.
在COVID-19血液测试诊断中识别常用的AI模型和性能指标.
为人工智能驱动的COVID-19分类研究人员提供基础.

主要方法:

从主要出版商 (IEEE,Springer,Elsevier,MDPI) 选择的92篇文章的系统审查.
基于机器学习和深度学习模型用于COVID-19检测的研究的分类.
分析来自常规血液检查的数据集.

主要成果:

机器学习和深度学习模型显示,使用血液检测进行COVID-19诊断是有希望的.
随机森林和物流回归是流行的机器学习算法.
精度,灵敏度,特异性和AUC是使用的关键性能指标.

结论:

基于人工智能的常规血液测试分析为COVID-19检测提供了一种经济有效和快速的方法.
本次审查强调了人工智能在补充或取代传统诊断方法方面的潜力.
这些发现对于进入人工智能驱动的COVID-19分类领域的研究人员来说是一个宝贵的资源.

关键词:

在 COVID-19 疫情中,这是RT-PCR.血液检查血液检查血液检查深度学习是一种深度学习.机器学习是机器学习.

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