 This research paper examined the effectiveness of various machine learning algorithms in predicting long-term functional outcomes in injured middle-aged and older patients. The authors found that pre-existing health conditions could be used as inputs to predict functional recovery at six months post-injury. This information could then be used to inform clinicians about the patient's prognosis and help them make informed decisions regarding treatment options. This article was authored by Nguyen Thanh Nhu, Nguyen Thanh Nhu, Giant Horn Kong, and others.