Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models

Background and Purpose: Stroke-related functional risk scores are used to predict patients' functional outcomes following a stroke event. We evaluate the predictive accuracy of machine-learning algorithms for predicting functional outcomes in acute ischemic stroke patients after endovascular tr...

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Bibliographic Details

Published in:	Frontiers in Neurology
Main Authors:	Shakiru A. Alaka, Bijoy K. Menon, Anita Brobbey, Tyler Williamson, Mayank Goyal, Andrew M. Demchuk, Michael D. Hill, Tolulope T. Sajobi
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2020-08-01
Subjects:	machine learning acute ischemic stroke functional outcome clinical risk prediction discrimination calibration
Online Access:	https://www.frontiersin.org/article/10.3389/fneur.2020.00889/full