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Predicting Ischemic Stroke Patients to Transfer for Endovascular Thrombectomy Using Machine Learning: A Case Study

2025-05-13

Abstract excerpt

<h4>Introduction: </h4> Endovascular Thrombectomy (EVT) is highly effective for ischemic stroke patients with a large vessel occlusion. EVT is typically only offered at urban hospitals; therefore, patients are transferred for EVT from hospitals that solely offer thrombolysis. There is uncertainly around patient selection for transfer, which results in a large number of futile transfers. Machine Learning (ML) may b...

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Literature Corpus work
9d854aa5-0597-5a90-a4df-5a05b163e035
DOI
10.20944/preprints202505.0692.v1
Open publication

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Predicting Ischemic Stroke Patients to Transfer for Endovascular Thrombectomy Using Machine Learning: A Case StudyDOI 10.20944/preprints202505.0692.v1
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