The Value of Machine Learning Models in Predicting Factors Associated with the Need for Permanent Shunting in Patients with Intracerebral Hemorrhage Requiring Emergency Cerebrospinal Fluid Diversion.

Journal: World neurosurgery
Published Date: Nov 13, 2024

Abstract

OBJECTIVE: To assess the efficacy of machine learning models in identifying factors associated with the need for permanent ventricular shunt placement in patients experiencing intracerebral hemorrhage (ICH) who require emergency cerebrospinal fluid (CSF) diversion.

Authors

  • Ehsan Alimohammadi
    Department of Neurosurgery, Kermanshah University of Medical Sciences, Imam Reza Hospital, Kermanshah, Iran. Hafez125@gmail.com.
  • Seyed Reza Bagheri
    Department of Neurosurgery, Kermanshah University of Medical Sciences, Imam Reza Hospital, Kermanshah, Iran.
  • Farid Moradi
    Department of Neurosurgery, Kermanshah University of Medical Sciences, Kermanshah, Iran.
  • Alireza Abdi
    Department of Nursing and Midwifery, Kermanshah University of Medical Sciences, Kermanshah, Iran.
  • Michael T Lawton
    Department of Neurosurgery, c/o Neuroscience Publications, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, 350 West Thomas Road, Phoenix, AZ 85013, USA. Electronic address: Neuropub@barrowneuro.org.

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