Prediction of Clinical Outcome in Patients with Large-Vessel Acute Ischemic Stroke: Performance of Machine Learning versus SPAN-100 [FUNCTIONAL]

CONCLUSIONS:
Machine learning–based feature selection can identify parameters with higher performance in outcome prediction. Machine learning models with the best-performing features, especially advanced CTP data, had superior performance of the recovery outcome prediction for patients with stroke at admission in comparison with SPAN-100.

Source: American Journal of Neuroradiology - February 9, 2021 Category: Radiology Authors: Jiang, B., Zhu, G., Xie, Y., Heit, J. J., Chen, H., Li, Y., Ding, V., Eskandari, A., Michel, P., Zaharchuk, G., Wintermark, M. Tags: FUNCTIONAL Source Type: research