Predictors of Stroke Outcome Extracted from Multivariate Linear Discriminant Analysis or Neural Network Analysis.
Journal:
Journal of atherosclerosis and thrombosis
PMID:
33298664
Abstract
AIM: The prediction of functional outcome is essential in the management of acute ischemic stroke patients. We aimed to explore the various prognostic factors with multivariate linear discriminant analysis or neural network analysis and evaluate the associations between candidate factors, baseline characteristics, and outcome.
Authors
Keywords
Aged
Aged, 80 and over
Alkaline Phosphatase
Discriminant Analysis
Female
Humans
Ischemic Stroke
Machine Learning
Male
Middle Aged
Multivariate Analysis
Neural Networks, Computer
Nutritional Status
Predictive Value of Tests
Prognosis
Recovery of Function
Regression Analysis
Retrospective Studies
Risk Factors