Development of a deep neural network model for ultra-early neurological deterioration in ischemic stroke and analysis of associated risk factors.

Journal: Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Published Date: Jun 1, 2025

Abstract

BACKGROUND: In this study, we established a deep neural network (DNN)-based predictive model, aiming to provide a basis for improving the treatment prognosis of early neurological deterioration (END) in patients with ultra-early ischemic stroke after intravenous thrombolysis with Alteplase.

Authors

  • Lihong Zhang
    Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China.
  • Zhanjun Wu
    School of Materials Science and Engineering, Dalian University of Technology, 2 Linggong Road, Ganjingzi District, Dalian City, Liaoning Province 116000, China.
  • Ce Zhang
    Stanford University.
  • Hong Qu
    Center for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Peking University, Beijing 100871, China.
  • Jianping Xu
    Department of Biology, McMaster University, Hamilton, ON L8S 4K1 Canada. jpxu@mcmaster.ca.
  • Jitong Ma
    School of Information Science and Technology, Dalian Maritime University, 1 Linghai Road, Dalian 116026, China.
  • Jinggong Jiang
    Center of Cerebrovascular Disease, Linyi Hospital of Traditional Chinese Medicine, 211 Jiefang Road, Lanshan District, Linyi City 276000, China.
  • Di Li
    Department of Urology, General Hospital of the Air Force, PLA, No. 30 Fucheng Road Haidian District, Beijing, 100142 China.

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