Machine Learning Predicts Risk of Falls in Parkison's Disease Patients in a Multicenter Observational Study.
Journal:
European journal of neurology
PMID:
40304115
Abstract
BACKGROUND: Postural instability and gait difficulties are key symptoms of Parkinson's disease (PD), elevating the risk of falls substantially. Falls afflict 35% to 90% of PD patients, representing a major challenge in managing the condition. Accurate prediction of fall risk and identification of contributing factors are essential for timely interventions.