XGBoost-Based Simple Three-Item Model Accurately Predicts Outcomes of Acute Ischemic Stroke
XGBoost-Based Simple Three-Item Model Accurately Predicts Outcomes of Acute Ischemic Stroke
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Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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An all-inclusive and accurate prediction of outcomes for patients with acute ischemic stroke (AIS) is crucial for clinical decision-making. This study developed extreme gradient boosting (XGBoost)-based models using three simple factors-age, fasting glucose, and National Institutes of Health Stroke Scale (NIHSS) scores-to predict the three-month fu...
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XGBoost-Based Simple Three-Item Model Accurately Predicts Outcomes of Acute Ischemic Stroke
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TN_cdi_doaj_primary_oai_doaj_org_article_d98c1af510e8491cb5c08963a9a6aec4
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d98c1af510e8491cb5c08963a9a6aec4
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ISSN
2075-4418
E-ISSN
2075-4418
DOI
10.3390/diagnostics13050842
