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Interpretable machine learning for predicting 28-day all-cause in-hospital mortality for hypertensive ischemic or hemorrhagic stroke patients in the ICU: a multi-center retrospective cohort study with internal and external cross-validation
ConclusionsThe XGBoost model accurately predicted 28-day all-cause in-hospital mortality among hypertensive ischemic or hemorrhagic stroke patients admitted to the ICU. The SHAP method can provide explicit explanations of personalized risk prediction, which can aid physicians in understanding the model.
Source: Frontiers in Neurology - August 8, 2023 Category: Neurology Source Type: research

Using Dental Pulp Stem Cells for Stroke Therapy
Conclusion and Future Perspectives Stem cell-based therapy is a promising alternative for stroke treatment. While stem cells from different sources, including induced PSC, ESC, MSC, and NSC, have been investigated, using NSC and enhancing the natural mechanisms is most appropriate for brain repair. In preclinical models of stroke, stem cell transplantation has led to positive outcomes through a variety of cellular and molecular mechanisms, many being mediated by the array of beneficial factors produced by the cells. Recent advances in cellular reprogramming have provided alternative sources of NSC to be investigated, allo...
Source: Frontiers in Neurology - April 28, 2019 Category: Neurology Source Type: research