Machine learning may assist in identifying pain trajectories after TKA

A combination of unsupervised and supervised machine learning algorithms may be able to assist clinicians in identifying patients undergoing total knee arthroplasty who are more likely to have pain that is difficult to control, according to a study.

Source: Healio

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