Community-acquired pneumonia: Machine learning enhances early risk prediction in hospitalized patients medicalxpress.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from medicalxpress.com Daily Mail and Mail on Sunday newspapers.
A machine-learning model showed excellent discriminative ability in predicting 30-day mortality in patients with community-acquired pneumonia, according to study results published in CHEST.“[SepsisFinder adapted for CAP with machine learning] offers some advantages over current scoring methods, for example, calculations easily made on routinely collected data and based on structured
Two widely used clinical scoring systems — the Pneumonia Severity Index and CURB-65 score — comparatively predicted in-hospital mortality in patients with and without SARS-CoV-2-related community-acquired pneumonia, researchers reported.“Triaging patients with SARS-CoV-2 community-acquired pneumonia requires an accurate assessment of mortality risk; however, this is challenging