A machine learning model for visualization and dynamic clinical prediction of stroke recurrence in acute ischemic stroke patients: A real-world retrospective study
Background and purposeRecurrent stroke accounts for 25–30% of all preventable strokes, and this study was conducted to establish a machine learning-based clinical predictive rice idol for predicting stroke recurrence within 1 year in patients with acute ischemic stroke (AIS).MethodsA total of 645 AI...
| المؤلفون الرئيسيون: | , , , , , , , , , , , |
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| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
Frontiers Media S.A.
2023-03-01
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| سلاسل: | Frontiers in Neuroscience |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.frontiersin.org/articles/10.3389/fnins.2023.1130831/full |