Synopsis of recent research by authors named "Shiying Sheng"
- Shiying Sheng's research primarily focuses on the predictive modeling of severe neurological conditions, particularly addressing in-hospital mortality and malignant cerebral edema in patients with large hemispheric infarctions using artificial intelligence and statistical nomograms.
- Recent studies have demonstrated the development and validation of predictive tools, such as nomograms and explainable AI models, to improve early identification and management of complications in acute cerebrovascular events.
- Additionally, Sheng's work extends to understanding related conditions such as acute respiratory distress syndrome and neuroinflammation, indicating a broader interest in the intersection of neurological health and systemic inflammatory responses.
