Predicting ICU readmission risks in intracerebral hemorrhage patients: Insights from machine learning models using MIMIC databases-Reference-Cited by-同舟云学术

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Predicting ICU readmission risks in intracerebral hemorrhage patients: Insights from machine learning models using MIMIC databases

Published:2024-01 Issue: Volume:456 Page:122849
ISSN:0022-510X
Container-title:Journal of the Neurological Sciences
language:en
Short-container-title:Journal of the Neurological Sciences

Author:

Miao Jinfeng,Zuo Chengchao,Cao Huan,Gu Zhongya,Huang Yaqi,Song Yu,Wang Furong

Publisher

Elsevier BV

Subject

Neurology (clinical),Neurology

Reference37 articles.

1. Heart disease and stroke Statistics-2022 update: a report from the American Heart Association;Tsao;Circulation,2022

2. Essential topics about the imaging diagnosis and treatment of hemorrhagic stroke: a comprehensive review of the 2022 AHA guidelines;Gil-Garcia;Curr. Probl. Cardiol.,2022

3. Incidence, case fatality, and functional outcome of intracerebral haemorrhage over time, according to age, sex, and ethnic origin: a systematic review and meta-analysis;van Asch;Lancet Neurol.,2010

4. Differences in outcome and predictors between ischemic and intracerebral hemorrhage: the South London stroke register;Bhalla;Stroke,2013

5. Early determinants of Neurocritical care unit length of stay in patients with spontaneous intracerebral hemorrhage;Loggini;Neurocrit. Care.,2021

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2. Reducing Diagnostic Uncertainty Using Large Language Models;2024 IEEE First International Conference on Artificial Intelligence for Medicine, Health and Care (AIMHC);2024-02-05

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