使用机器学习预测COVID-19患者的预后:系统性审查和元分析
Ruiyao Chen1, Jiayuan Chen1, Sen Yang1
1Shanghai Artificial Intelligence Laboratory, Shanghai, China.
International journal of medical informatics
|July 20, 2023
概括
机器学习 (ML) 在预测COVID-19患者的死亡率和ICU入院等结果方面表现强. 虽然对临床决策有希望,但对于常规实践需要进一步的方法改进.
科学领域:
- 医疗信息学 医疗信息学
- 计算生物学 计算生物学
- 流行病学 流行病学
背景情况:
- 对COVID-19患者的准确预后对于临床决策和资源分配至关重要.
- 机器学习 (ML) 对COVID-19预后的预测能力在很大程度上仍未被探索.
- 这项研究系统地评估了COVID-19患者队列中ML的预后价值.
结论:
- 机器学习在预测COVID-19患者的预后结果方面具有显著的潜力,有助于临床决策.
- 这种令人满意的表现表明,ML工具可以在疫情期间支持医疗保健管理.
- 在ML在COVID-19预后中得到广泛的临床实施之前,对方法的进一步改进和严格的验证至关重要.
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