Machine learning for identifying patients at risk of severe sepsis. Talk by @suchisaria at #IDWeek2022. Input + Output -> Rules. pubmed.ncbi.nlm.nih.gov/32166234/
This table highlights why we are not going to accurately identify sepsis in real-time without machine learning. pubmed.ncbi.nlm.nih.gov/31939780/ #IDWeek2022 @suchisaria 
"Machine learning-based clinical decision support tools for sepsis create opportunities to identify at-risk patients and initiate treatments at early time points." 89% of ~9800 alerts reviewed by physician/APP over 2 yrs -> 2hr less time to 1st abx. pubmed.ncbi.nlm.nih.gov/35864251/
Those whose machine learning-based early warning system for sepsis was confirmed within 3 hours had a reduced mortality rate, organ failure, and length of stay. pubmed.ncbi.nlm.nih.gov/35864252/ #IDWeek2022
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