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