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模型不可知可解释的人工智能工具用于印度COVID-19数据的严重性预测和症状分析

Athira Nambiar1, Harikrishnaa S1, Sharanprasath S1

  • 1Department of Computational Intelligence, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.

Frontiers in artificial intelligence
|December 19, 2023
PubMed
概括

可解释的人工智能 (XAI) 增强了AI模型,用于预测印度患者的COVID-19严重程度. 像夏普利添加式解释 (SHAP) 和局部可解释模型不可知解释 (LIME) 等工具提供可解释的证据,提高对人工智能医疗应用的信任.

关键词:
在 COVID-19 疫情中,在XGBoost中使用.人工智能的人工智能是人工智能.数据分析数据分析数据分析决策树是一个决策树.可解释的人工智能 (XAI)机器学习是机器学习.神经网络分类器神经网络分类器

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