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Updated: Jun 18, 2025

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为了改进基于XAI的流行病学研究,研究下一个潜在的流行病

Hamed Khalili1, Maria A Wimmer1

  • 1Research Group E-Government, Faculty of Computer Science, University of Koblenz, D-56070 Koblenz, Germany.

Life (Basel, Switzerland)
|July 27, 2024
PubMed
概括

本研究审查了可解释的人工智能 (AI) 模型,以控制SARS-CoV-2的传播. 提高人工智能可解释性 (XAI) 对于未来的流行病中可靠的政策决策至关重要.

关键词:
在这里,我们可以看到AIAIAI.这就是SARS-CoV-2病毒.流行病学流行病学可以解释的深度学习.可以解释的机器学习可以解释的深度学习.可以解释的机器学习.其他非药物干预措施.

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