Machine learning predicts the risk of hemorrhagic transformation of acute cerebral infarction and in-hospital death-Reference-Cited by-同舟云学术

Machine learning predicts the risk of hemorrhagic transformation of acute cerebral infarction and in-hospital death

Published:2023-07 Issue: Volume:237 Page:107582
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Li Xuewen,Xu Changyan,Shang Chengming,Wang Yiting,Xu Jiancheng,Zhou Qi

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

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5. Influences of blood lipids on the occurrence and prognosis of hemorrhagic transformation after acute cerebral infarction: a case-control study of 732 patients;Lv;Mil. Med. Res.,2019

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1. Constructing machine learning models based on non-contrast CT radiomics to predict hemorrhagic transformation after stoke: a two-center study;Frontiers in Neurology;2024-09-02

2. Application of interpretable machine learning algorithms to predict acute kidney injury in patients with cerebral infarction in ICU;Journal of Stroke and Cerebrovascular Diseases;2024-07

3. Hemorrhagic transformation of cerebral infarction: risk factors, diagnosis, and new approaches to treatment;INTERNATIONAL NEUROLOGICAL JOURNAL;2024-03-20

4. Hemorrhagic transformation in patients with large-artery atherosclerotic stroke is associated with the gut microbiota and lipopolysaccharide;Neural Regeneration Research;2023-09-22