Machine learning prediction of moderate‐to‐severe acute kidney injury after ICU admission and cardiac surgery with urine trace elements

Documenti analoghi

• Stroke outcomes following cardiac and aortic surgery are improved by the involvement of a stroke team
  di: Amer Harky, et al.
  Pubblicazione: (2024)
• Machine learning for stroke in heart failure with reduced ejection fraction but without atrial fibrillation: A post‐hoc analysis of the WARCEF trial
  di: Hironori Ishiguchi, et al.
  Pubblicazione: (2024)
• TyG ‐ BMI index as a valuable risk of acute kidney injury in patients with heart failure: Insights from the MIMIC ‐ IV and eICU cohorts
  di: Yiming Hua, et al.
  Pubblicazione: (2025)
• Machine learning‐based prediction of atrial fibrillation in patients with atrial high‐rate episodes
  di: Amir Askarinejad, et al.
  Pubblicazione: (2025)
• Impact of prior oral anticoagulation therapies on post‐discharge outcomes after COVID‐19: Results from a global federated health network analysis
  di: José Miguel Rivera‐Caravaca, et al.
  Pubblicazione: (2024)