August 1, 2024Open Access

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

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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. (Thu,) studied this question.

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

Authors

Li Zhou

Dalian Medical University

Youlin Wu

Army Medical University

Jiani Wang

The Affiliated Yongchuan Hospital of Chongqing Medical University

Journals

Clinical Interventions in Aging

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Institutions

Chongqing Medical University

The Affiliated Yongchuan Hospital of Chongqing Medical University

First People's Hospital of Chongqing

References and Citations

Connected Papers

Building similarity graph...

Analyzing shared references across papers

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

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Cite this study

Authors

Journals

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion