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What really killed COVID-19 patients: it wasn

By applying machine learning to medical record data, scientists found that secondary bacterial pneumonia that does not resolve was a key driver of death in patients with COVID-19. It may even exceed death rates from the viral infection itself. The scientists also found evidence that COVID-19 does not cause a “cytokine storm,” so often believed to cause death. ....

Northwestern Memorial Hospital , United States , Alexander Misharin , Catherine Gao , Chiagozie Pickens , Annae Pawlowski , Jamesm Walter , Helenk Donnelly , Lukev Rasmussen , Mengjia Kang , Alvaro Donayre , Justin Starren , Thomas Stoeger , Richard Wunderink , Scott Budinger , Daniel Schneider , Prasanth Nannapaneni , Jacquelinem Kruser , National Institutes Of Health , Northwestern University Feinberg School Of Medicine , Simpson Querrey Lung Institute For Translational Sciences , National Institute Of Allergy , Northwestern University Feinberg School , Benjamin Singer , Northwestern Medicine , Lawrence Hicks Professor ,

Proactive vs Reactive Machine Learning in Health Care

This Viewpoint examines the reasons that machine learning has not met initial expectations in health care and proposes that the approach to using machine learni ....

United States , Sadiya Khan , Justin Starren , National Institutes Of Health , Department Of Preventive Medicine , Health Care , Division Of Cardiology , Department Of Medicine , Northwestern University Feinberg School Of Medicine , Division Of Health , Moving From Reactive , Proactive Machine Learning , From Reactive , Stress Test , Multifactorial Adaptive Platform , Yuan Luo , Biomedical Informatics , Preventive Medicine , Northwestern University Feinberg School , Interest Disclosures , National Institutes ,