Can machine learning algorithms combined with electronic medical record data accurately forecast acute postoperative pain outcomes compared to traditional methods?
Machine learning models using routine electronic medical record data can predict postoperative pain as accurately as purpose-built predictive models.
Machine learning algorithms, when combined with complex and heterogeneous data from electronic medical record systems, can forecast acute postoperative pain outcomes with accuracies similar to methods that rely only on variables specifically collected for pain outcome prediction.
Tighe et al. (Fri,) studied this question.