Development of Machine Learning-Based Predictor Algorithm for Conversion of an Ommaya Reservoir to a Permanent Cerebrospinal Fluid Shunt in Preterm Posthemorrhagic Hydrocephalus.

Journal: World neurosurgery
Published Date:

Abstract

BACKGROUND: An Ommaya reservoir can be used to treat posthemorrhagic hydrocephalus secondary to intraventricular hemorrhage of prematurity until an acceptable weight can be obtained to place a permanent shunt. Identifying newborns at higher risk of developing shunt conversion may improve the management of these patients. This study aimed to develop a predictive algorithm for conversion of an Ommaya reservoir to a permanent shunt using artificial intelligence techniques and classical statistics.

Authors

  • Miguel Sáez-Alegre
    Servicio De Neurocirugía, Hospital Universitario La Paz, Madrid, Spain. Electronic address: miksaezalegre@gmail.com.
  • Rocío Martín
    Universidad Politécnica de Madrid, Madrid, Spain.
  • Alexis Palpán
    Servicio De Neurocirugía, Hospital Universitario La Paz, Madrid, Spain.
  • Fernando Carceller
    Servicio De Neurocirugía, Hospital Universitario La Paz, Madrid, Spain.
  • Jesús Sáez-Alegre
    Universidad Carlos III de Madrid, Madrid, Spain.
  • Guillermo Servera
    Servicio De Neurocirugía, Hospital Universitario La Paz, Madrid, Spain.
  • Rudolf Bauer
    Universidad Carlos III de Madrid, Madrid, Spain.
  • Pablo García Feijoo
    Servicio De Neurocirugía, Hospital Universitario La Paz, Madrid, Spain.
  • Javier Saceda
    Servicio De Neurocirugía, Hospital Universitario La Paz, Madrid, Spain.