Construction of a poor prognosis prediction and visualization system for intracranial aneurysm endovascular intervention treatment based on an improved machine learning model.

Journal: Frontiers in neurology
Published Date:

Abstract

OBJECTIVE: To evaluate the clinical utility of improved machine learning models in predicting poor prognosis following endovascular intervention for intracranial aneurysms and to develop a corresponding visualization system.

Authors

  • Chunyu Lei
    Department of Neurosurgery, FuShun County Zigong City People's Hospital, Fushun, China.
  • Anhui Fu
    Department of Neurosurgery, Nanchong Central Hospital, Nanchong, China.
  • Bin Li
    Department of Magnetic Resonance Imaging (MRI), Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
  • Shengfu Zhou
    Department of Neurosurgery, The Sixth People's Hospital of Yibin, Yibin, China.
  • Jun Liu
    Department of Radiology, Second Xiangya Hospital, Changsha, Hunan, China.
  • Yu Cao
    Department of Neurosurgery, FuShun County Zigong City People's Hospital, Fushun, China.
  • Bo Zhou
    Department of Neurology, The Third People's Hospital of Yibin, Yibin, China.

Keywords

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