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Explainable machine learning predictions to help anesthesiologists prevent hypoxemia during surgery

2017-10-21

Abstract excerpt

Hypoxemia causes serious patient harm, and while anesthesiologists strive to avoid hypoxemia during surgery, anesthesiologists are not reliably able to predict which patients will have intraoperative hypoxemia. Using minute by minute EMR data from fifty thousand surgeries we developed and tested a machine learning based system called Prescience that predicts real-time hypoxemia risk and presents an explanation o...

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Identifiers and source

Literature Corpus work
42eb0986-b6ed-583b-a7db-71e6dff31905
DOI
10.1101/206540
Open publication

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Explainable machine learning predictions to help anesthesiologists prevent hypoxemia during surgeryDOI 10.1101/206540
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