Machine learning approaches to identify the link between heavy metal exposure and ischemic stroke using the US NHANES data from 2003 to 2018.

Journal: Frontiers in public health
PMID: 39351032

Abstract

PURPOSE: There is limited understanding of the link between exposure to heavy metals and ischemic stroke (IS). This research aimed to develop efficient and interpretable machine learning (ML) models to associate the relationship between exposure to heavy metals and IS.

Authors

  • Yierpan Zibibula
    Department of Emergency Center II, People's Hospital of Xinjiang Uygur Autonomous Region, Ürümqi, Xinjiang, China.
  • Gulifeire Tayier
    Department of Critical Care Medicine, The First Affiliated Hospital of Xinjiang Medical University, Ürümqi, Xinjiang, China.
  • Aierpati Maimaiti
    Department of Neurosurgery, Xinjiang Medical University Affiliated First Hospital, Urumqi, Xinjiang, 840017, People's Republic of China.
  • Tianze Liu
    Department of Emergency Center II, People's Hospital of Xinjiang Uygur Autonomous Region, Ürümqi, Xinjiang, China.
  • Jinshuai Lu
    Department of Emergency Center II, People's Hospital of Xinjiang Uygur Autonomous Region, Ürümqi, Xinjiang, China.

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