Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using support vector machine.
Journal:
EBioMedicine
Published Date:
May 1, 2019
Abstract
BACKGROUND: Spontaneous intracerebral hemorrhage (ICH) is a devastating disease with high mortality rate. This study aimed to predict hematoma expansion in spontaneous ICH from routinely available variables by using support vector machine (SVM) method.
Authors
Keywords
Adult
Aged
Aged, 80 and over
Biomarkers
Cerebral Hemorrhage
Female
Glasgow Coma Scale
Hematoma
Humans
Image Processing, Computer-Assisted
Male
Middle Aged
Models, Biological
Odds Ratio
Prognosis
Retrospective Studies
ROC Curve
Sensitivity and Specificity
Support Vector Machine
Tomography, X-Ray Computed
Young Adult