Machine learning-based prediction of 90-day prognosis and in-hospital mortality in hemorrhagic stroke patients

Machine learning-based prediction of 90-day prognosis and in-hospital mortality in hemorrhagic stroke patients

Abstract This study aims to predict hemorrhagic stroke outcomes, including 90-day prognosis and in-hospital mortality, using machine learning models and SHapley Additive exPlanations (SHAP) analysis. Data were collected from a national Stroke Registry from January 2014 to July 2022. Various predicti...

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Bibliographic Details
Main Authors: Ahmad A. Abujaber, Ibrahem Albalkhi, Yahia Imam, Said Yaseen, Abdulqadir J. Nashwan, Naveed Akhtar, Ibrahim M. Alkhawaldeh
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Hemorrhagic stroke
Stroke registry
Prognosis
Mortality
Machine learning
Online Access:https://doi.org/10.1038/s41598-025-90944-x
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https://doi.org/10.1038/s41598-025-90944-x

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