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深度学习预测模型对COVID-19严重性的诊断测试准确性:系统性审查和元分析

Changyu Wang1,2, Siru Liu3, Yu Tang4

  • 1Department of Medical Informatics, West China Medical School, Sichuan University, Chengdu, China.

Journal of medical Internet research
|July 21, 2023
PubMed
概括

深度学习 (DL) 模型对COVID-19选有希望. 这些模型准确地评估和预测COVID-19的严重程度,有助于早期识别关键病例.

关键词:
在这里,我们可以看到AIAIAI.在 COVID-19 疫情中,疾病严重程度指数 疾病严重程度指数准确度 准确度 准确度 准确度深度学习是一种深度学习.数字健康干预是数字健康干预.疾病的严重程度.这是一个元分析.预测模型 预测模型预后 预后 预后预测和健康管理.系统性审查 系统性审查

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Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

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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