Publications by authors named "Siang-Rong Lin"
Objectives: This study aimed to predict mortality in children with pneumonia who were admitted to the intensive care unit (ICU) to aid decision-making.
Study Design: Retrospective cohort study conducted at a single tertiary hospital.
Patients: This study included children who were admitted to the pediatric ICU at the National Taiwan University Hospital between 2010 and 2019 due to pneumonia.
Article Synopsis
- Researchers created machine learning models to predict common respiratory pathogens in hospitalized children with acute respiratory infections (ARIs) using clinical data collected shortly after admission.
- The study analyzed 12,694 hospital admissions and identified critical features like age, fever, and blood test results that improved model accuracy for pathogens such as RSV, influenza, and adenovirus.
- The findings suggest that AI can enhance clinical decision-making by predicting ARI pathogens, potentially leading to better patient outcomes and cost savings in medical testing.