Bibliometric and visual analysis of machine learning-based research in acute kidney injury worldwide.

Journal: Frontiers in public health
Published Date: Mar 17, 2023

Abstract

BACKGROUND: Acute kidney injury (AKI) is a serious clinical complication associated with adverse short-term and long-term outcomes. In recent years, with the rapid popularization of electronic health records and artificial intelligence machine learning technology, the detection rate and treatment of AKI have been greatly improved. At present, there are many studies in this field, and a large number of articles have been published, but we do not know much about the quality of research production in this field, as well as the focus and trend of current research.

Authors

  • Xiang Yu
  • RiLiGe Wu
    Medical Big Data Research Center, Chinese People's Liberation Army General Hospital, Beijing, China.
  • YuWei Ji
    State Key Laboratory of Kidney Diseases, Department of Nephrology, Chinese People's Liberation Army General Hospital, Chinese People's Liberation Army Institute of Nephrology, National Clinical Research Center of Kidney Diseases, Beijing, China.
  • Zhe Feng
    Department of Cardiovascular Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.

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