Article

iSPAN: Improved prediction of outcomes post thrombectomy with Machine Learning

2023-04-24

Abstract excerpt

<h4>Background</h4> This study aimed to develop and evaluate a machine learning model and a novel clinical score for predicting outcomes in stroke patients undergoing endovascular thrombectomy. <h4>Methods</h4> This retrospective study included all patients aged over 18 years with an anterior circulation stroke treated at a thrombectomy centre from 2010 to 2020. External validation data was obtained. The primary...

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Literature Corpus work: 62360d67-4bf1-5e7a-a6e9-d3d44be7afad
DOI: 10.1101/2023.04.17.23288611

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