Publications by authors named "Zhangtuo Xue"
Background: Differentiating whether hepatic cystic echinococcosis (HCE) lesions exhibit biological activity is essential for developing effective treatment plans. This study evaluates the performance of a Transformer-based fusion model in assessing HCE lesion activity.
Methods: This study analyzed CT images and clinical variables from 700 HCE patients across three hospitals from 2018 to 2023.
Objective: This study developed and validated a stacked ensemble machine learning model to predict the risk of acute kidney injury in patients with acute pancreatitis complicated by sepsis.
Design: A retrospective study based on patient data from public databases.
Participants: This study analysed 1295 patients with acute pancreatitis complicated by septicaemia from the US Intensive Care Database.
Article Synopsis
- * Various machine learning models, including a Stacking ensemble model, were developed using clinical data, with model performance validated across different databases, showing strong predictive capabilities.
- * The final model, which highlighted important health indicators, is intended for real-time use as a web-based calculator to aid healthcare providers in making clinical decisions for cirrhotic patients.