Explainable machine-learning predictions for the prevention of hypoxaemia during surgery

Volume: 2, Issue: 10, Pages: 749 - 760
Published: Oct 10, 2018
Abstract
Although anaesthesiologists strive to avoid hypoxemia during surgery, reliably predicting future intraoperative hypoxemia is not currently possible. Here, we report the development and testing of a machine-learning-based system that, in real time during general anaesthesia, predicts the risk of hypoxemia and provides explanations of the risk factors. The system, which was trained on minute-by-minute data from the electronic medical records of...
Paper Details
Title
Explainable machine-learning predictions for the prevention of hypoxaemia during surgery
Published Date
Oct 10, 2018
Volume
2
Issue
10
Pages
749 - 760
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