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BackgroundGiven their ability to process highly dimensional datasets with hundreds of variables, machine learning algorithms may offer one solution to the vexing challenge of predicting postoperative pain.
MethodsHere, we report on the application of machine learning algorithms to predict postoperative pain outcomes in a retrospective cohort of 8,071 surgical patients using 796 clinical variables...
Objective. The purpose of this project was to determine whether machine‐learning classifiers could predict which patients would require a preoperative acute pain service (APS) consultation.
Design. Retrospective cohort.
Setting. University teaching hospital.
Subjects. The records of 9,860 surgical patients posted between January 1 and June 30, 2010 were reviewed.
Outcome Measures. Request for...
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