Prospective Assessment of a Symptomatic Cerebral Vasospasm Predictive Neural Network Model.
Journal:
World neurosurgery
Published Date:
Oct 1, 2016
Abstract
INTRODUCTION: The author introduced a symptomatic cerebral vasospasm (SCV) prediction model built with freeware based on a 91-patient dataset. In a prospective test group of 22 patients at the same hospital, this model outperformed logistic regression models in vasospasm prediction on the basis of the same datasets. One of the model's limitations was a question of reproducibility in other centers. In this report, the author describes his experience with the prospective use of the model at a different hospital with a different population setting.
Authors
Keywords
Aged
Aneurysm, Ruptured
Cerebral Angiography
Female
Humans
Intracranial Aneurysm
Logistic Models
Male
Middle Aged
Neural Networks, Computer
Prospective Studies
Reproducibility of Results
Risk Assessment
Rupture, Spontaneous
Subarachnoid Hemorrhage
Ultrasonography, Doppler, Transcranial
Vasospasm, Intracranial