Lessons learned on using High-Performance Computing and Data Science Methods towards understanding the Acute Respiratory Distress Syndrome (ARDS)
Author:
Affiliation:
1. University of Iceland,School of Engineering and Natural Sciences,Iceland
2. Forschungszentrum Jülich,Jülich Supercomputing Centre,Germany
3. RWTH Aachen,Joint Research Centre for Computational Biomedicine,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9803295/9803050/09803320.pdf?arnumber=9803320
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5. Risk stratification using SpO2/FiO2 and PEEP at initial ARDS diagnosis and after 24 h in patients with moderate or severe ARDS
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