Comparing "people-like-me" and linear mixed model predictions of functional recovery following knee arthroplasty.
Jeremy GraberAndrew KittelsonElizabeth Juarez-ColungaXin JinMichael BadeJennifer Stevens-LapsleyPublished in: Journal of the American Medical Informatics Association : JAMIA (2022)
Overall, the PLM approach more accurately and precisely predicted TUG recovery following knee arthroplasty. These results suggest PLM predictions may be more clinically useful for monitoring recovery and personalizing care following knee arthroplasty. However, clinicians and organizations seeking to use predictions in practice should consider additional factors (eg, resource requirements) when selecting a prediction approach.