Factors influencing short-term and long-term survival rates in stroke patients receiving enteral nutrition: a machine learning approach using MIMIC-IV database

Factors influencing short-term and long-term survival rates in stroke patients receiving enteral nutrition: a machine learning approach using MIMIC-IV database

Abstract Purpose This study aims to evaluate the survival and mortality rates of stroke patients after receiving enteral nutrition, and to explore factors influencing long-term survival. With an aging society, nutritional management of stroke patients has become a focus of clinical attention. Method...

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Bibliographic Details
Main Authors: Xuehui Fan, Chenyiyi He, Jing Xu, Ruixue Ye, Jingpu Zhao, Yulong Wang
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Neurology
Subjects:
Stroke
Enteral nutrition
Survival rate
Charlson comorbidity index
Machine learning
Online Access:https://doi.org/10.1186/s12883-025-04201-9
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https://doi.org/10.1186/s12883-025-04201-9

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