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Early Prediction of Adverse Stroke Outcomes Using Nonclinical Factors and Missing Data: A Machine Learning Study
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Zitationen
7
Autoren
2026
Jahr
Abstract
We demonstrate that nonclinical factors and missingness of data can assist in early predictions of 90-day adverse stroke outcomes. As these factors are often well documented in electronic health systems, they could complement or supplement traditional clinical predictive factors.
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