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The eICU Collaborative Research Database, a freely available multi-center database for critical care research
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Sarah Faubel et al.
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Lung-Kidney Cross-Talk in the Critically Ill Patient
Faeq Husain-Syed et al.
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MIMIC-III, a freely accessible critical care database
Alistair E. W. Johnson et al.
SCIENTIFIC DATA (2016)
Invasive mechanical ventilation as a risk factor for acute kidney injury in the critically ill: a systematic review and meta-analysis
Johannes P. C. van den Akker et al.
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Jose M. Vieira et al.
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