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References from Development and web-based implementation of a machine learning model for predicting one-year adverse outcomes in acute ischaemic stroke. Local targets link to admitted publications; unresolved targets remain external evidence.
Neuronal injuries in cerebral infarction and ischemic stroke: from mechanisms to treatment (Review)
10.3892/ijmm.2021.5070 · 2022 · External reference
Sophoricoside ameliorates cerebral ischemia-reperfusion injury dependent on activating AMPK
10.1016/j.ejphar.2024.176439 · 2024 · External reference
Results of acute cerebral infarction treatment with hyperbaric oxygen therapy, 2020–2022
10.5603/imh.97720 · 2023 · External reference
Quality and transparency of reporting derivation and validation prognostic studies of recurrent stroke in patients with TIA and minor stroke: a systematic review
10.1186/s41512-022-00123-z · 2022 · External reference
Blood markers for the prognosis of ischemic stroke: a systematic review
10.1161/strokeaha.108.528752 · 2009 · External reference
Prediction model between serum vitamin D and neurological deficit in cerebral infarction patients based on machine learning
10.1155/2022/2914484 · 2022 · External reference
Explainable AI for bioinformatics: methods, tools and applications
10.1093/bib/bbad236 · 2023 · External reference
An explainable machine learning approach reveals prognostic significance of right ventricular dysfunction in nonischemic cardiomyopathy
10.1016/j.jcmg.2021.11.029 · 2022 · External reference
Predicting mortality in intensive care unit patients with heart failure using an interpretable machine learning model: retrospective cohort study
10.2196/38082 · 2022 · External reference
New evidence, new guideline: interpretation of the Chinese guidelines for diagnosis and treatment of acute ischemic stroke 2018
2018 · External reference
Glial cells: role of the immune response in ischemic stroke
10.3389/fimmu.2020.00294 · 2020 · External reference
Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the global burden of disease study 2021
10.1016/s0140-6736(24)00685-8 · 2024 · External reference
The mechanisms of long non-coding RNA-XIST in ischemic stroke: insights into functional roles and therapeutic potential
10.1007/s12035-023-03740-x · 2024 · External reference
Management of acute ischemic stroke
10.1097/ccm.0000000000004597 · 2020 · External reference
Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990−2021: a systematic analysis for the global burden of disease study 2021
10.1016/s0140-6736(24)00933-4 · 2024 · External reference
In vitro modelling of the neurovascular unit for ischemic stroke research: emphasis on human cell applications and 3D model design
10.1016/j.expneurol.2024.114942 · 2024 · External reference
Emerging neuroprotective strategies for the treatment of ischemic stroke: an overview of clinical and preclinical studies
10.1016/j.expneurol.2020.113518 · 2021 · External reference
Application of metabolomics to the discovery of biomarkers for ischemic stroke in the murine model: a comparison with the clinical results
10.1007/s12035-021-02535-2 · 2021 · External reference
The emerging value of serum D-dimer measurement in the work-up and management of ischemic stroke
10.1177/1747493019876538 · 2020 · External reference
Correlation of the systemic immune-inflammation index with short- and long-term prognosis after acute ischemic stroke
10.18632/aging.204228 · 2022 · External reference
Opening the black box: interpretable machine learning for geneticists
10.1016/j.tig.2020.03.005 · 2020 · External reference
Interpretable machine learning for stroke recovery: predicting discharge and 3-month functional outcomes
10.1177/10538135261420819 · 2026 · External reference
Machine learning-based prediction of one-year mortality in ischemic stroke patients
10.1093/oons/kvae011 · 2024 · External reference
Application of metabolomics to the discovery of biomarkers for ischemic stroke in the murine model: a comparison with the clinical results
10.1007/s12035-021-02535-2 · ExternalCitation · doi-reference
The mechanisms of long non-coding RNA-XIST in ischemic stroke: insights into functional roles and therapeutic potential
10.1007/s12035-023-03740-x · ExternalCitation · doi-reference
Sophoricoside ameliorates cerebral ischemia-reperfusion injury dependent on activating AMPK
10.1016/j.ejphar.2024.176439 · ExternalCitation · doi-reference
Emerging neuroprotective strategies for the treatment of ischemic stroke: an overview of clinical and preclinical studies
10.1016/j.expneurol.2020.113518 · ExternalCitation · doi-reference
In vitro modelling of the neurovascular unit for ischemic stroke research: emphasis on human cell applications and 3D model design
10.1016/j.expneurol.2024.114942 · ExternalCitation · doi-reference
An explainable machine learning approach reveals prognostic significance of right ventricular dysfunction in nonischemic cardiomyopathy
10.1016/j.jcmg.2021.11.029 · ExternalCitation · doi-reference
Opening the black box: interpretable machine learning for geneticists
10.1016/j.tig.2020.03.005 · ExternalCitation · doi-reference
Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the global burden of disease study 2021
10.1016/s0140-6736(24)00685-8 · ExternalCitation · doi-reference
Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990−2021: a systematic analysis for the global burden of disease study 2021
10.1016/s0140-6736(24)00933-4 · ExternalCitation · doi-reference
Explainable AI for bioinformatics: methods, tools and applications
10.1093/bib/bbad236 · ExternalCitation · doi-reference
Machine learning-based prediction of one-year mortality in ischemic stroke patients
10.1093/oons/kvae011 · ExternalCitation · doi-reference
Management of acute ischemic stroke
10.1097/ccm.0000000000004597 · ExternalCitation · doi-reference
Prediction model between serum vitamin D and neurological deficit in cerebral infarction patients based on machine learning
10.1155/2022/2914484 · ExternalCitation · doi-reference
Blood markers for the prognosis of ischemic stroke: a systematic review
10.1161/strokeaha.108.528752 · ExternalCitation · doi-reference
Interpretable machine learning for stroke recovery: predicting discharge and 3-month functional outcomes
10.1177/10538135261420819 · ExternalCitation · doi-reference
The emerging value of serum D-dimer measurement in the work-up and management of ischemic stroke
10.1177/1747493019876538 · ExternalCitation · doi-reference
Quality and transparency of reporting derivation and validation prognostic studies of recurrent stroke in patients with TIA and minor stroke: a systematic review
10.1186/s41512-022-00123-z · ExternalCitation · doi-reference
Correlation of the systemic immune-inflammation index with short- and long-term prognosis after acute ischemic stroke
10.18632/aging.204228 · ExternalCitation · doi-reference
Predicting mortality in intensive care unit patients with heart failure using an interpretable machine learning model: retrospective cohort study
10.2196/38082 · ExternalCitation · doi-reference
Glial cells: role of the immune response in ischemic stroke
10.3389/fimmu.2020.00294 · ExternalCitation · doi-reference
Neuronal injuries in cerebral infarction and ischemic stroke: from mechanisms to treatment (Review)
10.3892/ijmm.2021.5070 · ExternalCitation · doi-reference
Results of acute cerebral infarction treatment with hyperbaric oxygen therapy, 2020–2022
10.5603/imh.97720 · ExternalCitation · doi-reference
