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相关概念视频

Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

485
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
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Classification of Illness01:17

Classification of Illness

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The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
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相关实验视频

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Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

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预测和诊断机器学习建模研究的综合报告准则:开发和验证.

William Klement1,2, Khaled El Emam1,2

  • 1University of Ottawa, Ottawa, ON, Canada.

Journal of medical Internet research
|August 31, 2023
PubMed
概括

机器学习 (ML) 研究报告不足,阻碍了理解和复制. 这项研究将ML报告准则整合到一个全面的检查清单中,以提高预后和诊断研究的质量和可重复性.

科学领域:

  • 医疗信息学 医疗信息学
  • 人工智能的人工智能
  • 生物统计学 生物统计学

背景情况:

  • 机器学习 (ML) 预后和诊断研究的报告往往不足,阻碍了理解和可重现性.
  • 现有的指导方针涉及ML生命周期的特定方面,但缺乏全面的单独覆盖.

研究的目的:

  • 整合现有的ML报告准则和检查清单.
  • 创建一套全面的报告项目,用于在in-silico和影子模式的预后和诊断ML研究.

主要方法:

  • 进行了文献搜索,确定了关于ML报告指南的192篇文章.
  • 选和评估了17个高质量的源文件,用于报告项目.
  • 整合,通过专家审查进行精细化,并将验证的报告项目纳入检查清单.

主要成果:

  • 在5个类别中确定了37个报告项目:研究细节,数据,建模,评估和可解释性.
  • 没有单一的来源文章涵盖了所有项目;可解释性和方法最少覆盖.
  • 开发了一个检查清单,以促进更完整的报告.

结论:

  • 现有的指导方针单独是不完整的,需要采取综合方法.
关键词:
诊断 诊断 诊断 的 诊断 诊断 诊断 诊断 的 诊断机器学习是机器学习.模型评价模型评价模型培训培训模型培训预测模型 预测模型预后预测预测的预测.预测模型的预测模型.报告准则 报告准则可复制性指导方针可复制性指导方针

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  • 开发的检查清单旨在提高ML建模研究的质量和可重复性.