A machine learning model for visualization and dynamic clinical prediction of stroke recurrence in acute ischemic stroke patients: A real-world retrospective study

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...

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Bibliographische Detailangaben
Hauptverfasser: Kai Wang, Qianqian Shi, Chao Sun, Wencai Liu, Vicky Yau, Chan Xu, Haiyan Liu, Chenyu Sun, Chengliang Yin, Xiu’e Wei, Wenle Li, Liangqun Rong
Format: Artikel
Sprache:English
Veröffentlicht: Frontiers Media S.A. 2023-03-01
Schriftenreihe:Frontiers in Neuroscience
Schlagworte:
stroke
recurrence
machine learning
SHAP
web calculator
Online Zugang:https://www.frontiersin.org/articles/10.3389/fnins.2023.1130831/full

Online

https://www.frontiersin.org/articles/10.3389/fnins.2023.1130831/full

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