Natural Language Processing Enhances Prediction of Functional Outcome After Acute Ischemic Stroke
Abstract
Background Conventional prognostic scores usually require predefined clinical variables to predict outcome. The advancement of natural language processing has made it feasible to derive meaning from unstructured data. We aimed to test whether using unstructured text in electronic health records can improve the prediction of functional outcome after acute ischemic stroke. Methods and Results Patients hospitalized for acute ischemic stroke were...
Paper Details
Title
Natural Language Processing Enhances Prediction of Functional Outcome After Acute Ischemic Stroke
Published Date
Dec 21, 2021
Volume
10
Issue
24
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