Predicting the risk of early intensive care unit admission for patients hospitalized with acute pancreatitis using supervised machine learning.
Hassam AliFaisal InayatRubaid DhillonPratik PatelArslan AfzalChristin WilkinsonAttiq Ur RehmanMuhammad Sajeel AnwarGul NawazAhtshamullah ChaudhryJunaid Rasul AwanMuhammad Sohaib AfzalJayanta SamantaDouglas G AdlerBabu P MohanPublished in: Proceedings (Baylor University. Medical Center) (2024)
This supervised machine learning-based model can help recognize high-risk AP hospitalizations. Clinicians may use the IAPR score to identify patients with AP at high risk of ICU admission within the first week of hospitalization.
Keyphrases
- machine learning
- intensive care unit
- artificial intelligence
- end stage renal disease
- emergency department
- big data
- newly diagnosed
- ejection fraction
- mechanical ventilation
- deep learning
- peritoneal dialysis
- prognostic factors
- palliative care
- clinical trial
- patient reported outcomes
- patient reported
- acute respiratory distress syndrome