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Ying Yao

Naval Medical University (SMMU)

Shanghai

China

  • Naval Medical University (SMMU)

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Scholarly Papers (1)

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Interpretable Machine-Learning Model for Real-Time, Clustered Risk Factor Analysis of Sepsis and Septic Death in Critical Care

Number of pages: 27 Posted: 15 Nov 2022
Zhengyu Jiang, Lulong Bo, Yan Xie, Lei Wang, Jianping Cao, Ying Yao, Wenbin Lu, Xiaoming Deng, Tao Yang and Jinjun Bian
Naval Medical University - Changhai Hospital, Government of the People's Republic of China - Department of Anesthesiology, Heal Sci Technology Co., Ltd, Heal Sci Technology Co., Ltd, Naval Medical University (SMMU), Naval Medical University (SMMU), Naval Medical University - Faculty of Anesthesiology, Government of the People's Republic of China - Changhai Hospital, Naval Medical University - Changhai Hospital and Naval Medical University - Faculty of Anesthesiology
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Abstract:

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Artificial Intelligence, Intensive care units, Sepsis, Risk factors, Clinical interpretability