Explainable machine learning model for predicting functional outcomes in posterior circulation stroke after thrombectomy.

Journal: Journal of neurointerventional surgery
Published Date:

Abstract

BACKGROUND: The early prediction of functional outcomes in patients with posterior circulation stroke (PCS) is crucial for timely interventions and optimizing treatment plans. We have developed and validated a machine learning (ML) model for predicting 3-month functional outcomes in patients with PCS undergoing endovascular thrombectomy (EVT).

Authors

  • Zhelv Yao
    Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
  • Qiuhong Ji
    Department of Neurology, Affiliated Hospital of Nantong University, Nantong, China.
  • Xuefeng Zang
    Department of Neurology, the First people's Hospital of Yancheng, Yancheng, China.
  • Wenwei Yun
    Department of Neurology, Changzhou Second People's Hospital Affiliated to Nanjing Medical University, Changzhou, China.
  • Yun Luo
    Institute of Medicinal Plant Development, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
  • Jie Cao
    College of Veterinary Medicine, China Agricultural University, Beijing, China.
  • Jingxian Xu
    Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
  • Zhihong Ke
    Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
  • Ziyi Xie
    Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
  • Chenglu Mao
    Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
  • Qiaochu Guan
    Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
  • Weiping Lv
    Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
  • Zhengyang Zhu
    Department of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an 710061, Shaanxi, People's Republic of China.
  • Yanan Huang
    Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
  • Ya Peng
    Department of Neurosurgery, the First People's Hospital of Changzhou/The Third Affiliated Hospital of Soochow University, Changzhou, China xuyun20042001@aliyun.com neuropengya@sina.com.
  • Yun Xu
    Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China.

Keywords

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