Machine Learning Predicts Prolonged Acute Hypoxemic Respiratory Failure in Pediatric Severe Influenza

por Michaël S. Sauthier, MD MBI, Philippe A. Jouvet, MD, PhDMBA, Margaret M. Newhams,, MPH, Adrienne G. Randolph, MD, MSc, for the Pediatric Acute Lung Injury and Sepsis Investigators (PALISI) Pediatric Intensive Care Influenza (PICFLU) Network Investigators, Michele Kong, Ronald C. Sanders, Jr, Olivia K. Irby, David Tellez, Katri Typpo, Barry Markovitz, Natalie Cvijanovich, Heidi Flori, Adam Schwarz, Nick Anas, Patrick McQuillen, Peter Mourani, John S. Giuliano, Jr., Gwenn McLaughlin, Matthew Paden, Keiko Tarquinio, Bria M. Coates, Neethi Pinto, Juliane Bubeck Wardenburg, Janice Sullivan, Vicki Montgomery, Adrienne G. Randolph, Anna A. Agan, Tanya Novak, Margaret M. Newhams, Melania Bembea, Sapna R. Kudchadkar, Stephen C. Kurachek, Mary E. Hartman, Edward J. Truemper, Sidharth Mahapatra, Sholeen Nett, Daniel L. Levin, Kate G. Ackerman, Ryan Nofziger, Steven L. Shein, Mark W. Hall, Neal Thomas, Scott L. Weiss, Julie Fitzgerald, Renee Higgerson, Laura L. Loftis, Rainer G. Gedeit
Publicado 2020