Advances in the Prognostic Prediction of Acute Ischemic Stroke: Using Machine Learning Predictive Models as an Example

Acute ischemic stroke (AIS) is characterized by high rates of disability, mortality, and recurrence, posing a significant burden on patients and society. In the era of big data, predictive models are increasingly used in patient diagnosis, treatment decisions, prognosis management, and healthcare re...

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Bibliografiska uppgifter
Huvudupphov:	DU Huijie, LIU Xingyu, XU Minghuan, YANG Xuezhi, ZHANG Huiqin, MO Jiali, LU Yi, KUANG Jie
Materialtyp:	Artigo
Språk:	Chinês
Utgiven:	Chinese General Practice Publishing House Co., Ltd 2025-02-01
Serie:	Zhongguo quanke yixue
Ämnen:	ischemic stroke\|prognosis prediction\|machine learning\|prediction model\|review
Länkar:	https://www.chinagp.net/fileup/1007-9572/PDF/20240090.pdf
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Advances in the Prognostic Prediction of Acute Ischemic Stroke: Using Machine Learning Predictive Models as an Example

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