Prediction of an Acute Hypotensive Episode During an ICU Hospitalization With a Super Learner Machine-Learning Algorithm

What is it about?

Acute hypotensive episodes (AHE), defined as a drop in the mean arterial pressure below 65 mmHg lasting at least 5 consecutive minutes, are among the most critical events in the intensive care unit. We have shown that the SL algorithm exhibits good performance for the prediction of an AHE 10 mins ahead of time. It allows an efficient, robust and rapid evaluation of the risk of hypotension that opens the way to routine use.

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