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Aihua Zhang

Nanjing Medical University - Children's Hospital

SCHOLARLY PAPERS

2

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162

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Scholarly Papers (2)

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1.

Interpretable Machine Learning Model Based on Urinary Metabolomics Predicting Sepsis-Associated Acute Kidney Injury in Critically Ill Children: A Retrospective Multicenter Cohort Study

Number of pages: 41 Posted: 24 Sep 2024
Yali Qian, Zheng Jiang, Hongjun Miao, Lili Zhu, Jingxia Zeng, Mingxing Fan, Wei Gu, Aihua Zhang, Feifei Xu and Xuhua Ge
Nanjing Medical University, Xuzhou Medical University, Nanjing Medical University, Nanjing Medical University, Nanjing Medical University, Nanjing Medical University, Nanjing Medical University - Children's Hospital, Nanjing Medical University - Children's Hospital, Nanjing Medical University and Nanjing Medical University
Downloads 106 (664,543)

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acute kidney injury, metabolomics, machine learning, prediction model, SHAP

2.

Efficacy and Safety of Reduning Injection (RDN) Therapy in Adolescents and Children Patients with Infections Disease Of Respiratory: A Multicentre, Prospective Registration-Style Research

Number of pages: 42 Posted: 27 Feb 2023
Lianxin Wang, Aihua Zhang, Shuo Yang, Fumei Liu, Jun Li, Aiwei Lin, Long Xiang, Mengqing Wang, Jie Lei, Rou Zhong and Yanming Xie
China Academy of Chinese Medical Sciences - Institute of Basic Research in Clinical Medicine, Nanjing Medical University - Children's Hospital, China Academy of Chinese Medical Sciences - Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences - Institute of Basic Research in Clinical Medicine, Nanjing Medical University - Children's Hospital, Shandong University - Qilu Children's Hospital of Shandong University, Chengdu First People's Hospital, Hunan University of Chinese Medicine - First Hospital, Jilin University (JLU) - The First Bethune Hospital, Renmin University of China - School of Statistics and China Academy of Chinese Medical Sciences - Institute of Basic Research in Clinical Medicine
Downloads 56 (1,010,164)

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Reduning injection, clinical safety, registration-style research, infections disease of respiratory, adverse reactions