Using a Multiclass Machine Learning Model to Predict the Outcome of Acute Ischemic Stroke Requiring...
Using a Multiclass Machine Learning Model to Predict the Outcome of Acute Ischemic Stroke Requiring Reperfusion Therapy
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Publisher
Switzerland: MDPI AG
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Language
English
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Switzerland: MDPI AG
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Prediction of functional outcome in ischemic stroke patients is useful for clinical decisions. Previous studies mostly elaborate on the prediction of favorable outcomes. Miserable outcomes, which are usually defined as modified Rankin Scale (mRS) 5-6, should be considered as well before further invasive intervention. By using a machine learning alg...
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Using a Multiclass Machine Learning Model to Predict the Outcome of Acute Ischemic Stroke Requiring Reperfusion Therapy
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TN_cdi_doaj_primary_oai_doaj_org_article_6c32795d45a54825a7c06373b423a777
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6c32795d45a54825a7c06373b423a777
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ISSN
2075-4418
E-ISSN
2075-4418
DOI
10.3390/diagnostics11010080
