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Validation and refinement of a predictive nomogram using artificial intelligence: assessing in-hospital mortality in patients with large hemispheric cerebral infarction

Authors :
Jian Ding
Xiaoming Ma
Wendie Huang
Chunxian Yue
Geman Xu
Yumei Wang
Shiying Sheng
Meng Liu
Yi Ren
Source :
Frontiers in Neurology, Vol 15 (2024)
Publication Year :
2024
Publisher :
Frontiers Media S.A., 2024.

Abstract

BackgroundLarge Hemispheric Infarction (LHI) poses significant mortality and morbidity risks, necessitating predictive models for in-hospital mortality. Previous studies have explored LHI progression to malignant cerebral edema (MCE) but have not comprehensively addressed in-hospital mortality risk, especially in non-decompressive hemicraniectomy (DHC) patients.MethodsDemographic, clinical, risk factor, and laboratory data were gathered. The population was randomly divided into Development and Validation Groups at a 3:1 ratio, with no statistically significant differences observed. Variable selection utilized the Bonferroni-corrected Boruta technique (p

Details

Language :
English
ISSN :
16642295
Volume :
15
Database :
Directory of Open Access Journals
Journal :
Frontiers in Neurology
Publication Type :
Academic Journal
Accession number :
edsdoj.002300cee2b48b8b5c40e20629199df
Document Type :
article
Full Text :
https://doi.org/10.3389/fneur.2024.1398142