Prediction of futile recanalisation after endovascular treatment in acute ischaemic stroke: development and validation of a hybrid machine learning model.

Journal: Stroke and vascular neurology
Published Date: Dec 30, 2024

Abstract

BACKGROUND: Identification of futile recanalisation following endovascular therapy (EVT) in patients with acute ischaemic stroke is both crucial and challenging. Here, we present a novel risk stratification system based on hybrid machine learning method for predicting futile recanalisation.

Authors

  • Ximing Nie
    Department of Neurology, Capital Medical University, Beijing, China.
  • Jinxu Yang
    School of Computer and Communication Engineering, University of Science and Technology, Beijing, China.
  • Xinxin Li
    School of Artificial Intelligence, Hebei University of Technology, Tianjin 300130, China.
  • Tianming Zhan
    School of Information Engineering, Nanjing Audit University, Nanjing 211815, China.
  • Dongdong Liu
    Fuyang Normal University.
  • Hongyi Yan
    China National Clinical Research Center for Neurological Diseases, Fengtai, Beijing, China.
  • Yufei Wei
    Department of Neurology, Capital Medical University, Beijing, China.
  • Xiran Liu
    Department of Electrical & System Engineering, Washington University, St. Louis, Missouri.
  • Jiaping Chen
    School of Tourism, Henan Vocational & Technical College, Zhengzhou, Henan 450000, China.
  • Guoyang Gong
    China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China.
  • Zhenzhou Wu
    BioMind Technology AI Center, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijng, China.
  • Zhonghua Yang
    Department of Neurology, Capital Medical University, Beijing, China.
  • Miao Wen
    Department of Neurology, Capital Medical University, Beijing, China.
  • Weibin Gu
    Department of Radiology, Beijing Tiantan Hospital, Beijing, China.
  • Yuesong Pan
    Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Fengtai, Beijing, China.
  • Yong Jiang
    Department of Pathology West China Hospital Sichuan University Chengdu China.
  • Xia Meng
    School of Public Health, Fudan University, Shanghai 200032, People's Republic of China.
  • Tao Liu
    Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Jian Cheng
  • Zixiao Li
    Beijing Tiantan Hospital, Capital Medical University, Beijing, China. lizixiao2008@hotmail.com.
  • Zhongrong Miao
    Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Liping Liu
    Department of Computer Sciences, Tufts University, Medford, MA.

Keywords

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