Temporal Differential Expression of Physiomarkers Predicts Sepsis in Critically Ill Adults
Conclusions:
This study demonstrates that salient physiomarkers derived from continuous bedside monitoring are temporally and differentially expressed in septic patients. Using this information, minimalistic artificial intelligence models can be developed to predict sepsis earlier in critically ill patients.
Source: Shock - Category: Emergency Medicine Tags: Clinical Science Aspects Source Type: research
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