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August 1, 2024Clinical Interventions in AgingOpen Access

Development of a Predictive Nomogram for Intra-Hospital Mortality in Acute Ischemic Stroke Patients Using LASSO Regression

Li Zhou Youlin Wu Jiani Wang Haiyun Wu Yongjun Tan Xia Chen Xiaosong Song Yufeng Ren Qin Yang

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Abstract

Ischemic stroke is a leading cause of mortality and disability globally, necessitating accurate prediction of intra-hospital mortality (IHM) for improved patient care. This study aimed to develop a practical nomogram for personalized IHM risk prediction in ischemic stroke patients.

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Cite This Study

Zhou et al. (2024) studied this question.

synapsesocial.com/papers/68e5dc63b6db643587572875 https://doi.org/10.2147/cia.s471885

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