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

Background:. Influenza virus is a major cause of acute hypoxemic respiratory failure. Early identification of patients who will suffer severe complications can help stratify patients for clinical trials and plan for resource use in case of pandemic. Objective:. We aimed to identify which clinical va...

Full description

Saved in:

Bibliographic Details
Main Authors:	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
Format:	article
Language:	EN
Published:	Wolters Kluwer 2020
Subjects:	Medical emergencies. Critical care. Intensive care. First aid RC86-88.9
Online Access:	https://doaj.org/article/ca6d7df3e8c14e91a9b1f188a01d97ae
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

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

Similar Items