Prediction of the functional outcome of intensive inpatient rehabilitation after stroke using machine learning methods.

ABSTRACT: An accurate and reliable functional prognosis is vital to stroke patients addressing rehabilitation, to their families, and healthcare providers. This study aimed at developing and validating externally patient-wise prognostic models of the global functional outcome at discharge from intensive inpatient post-acute rehabilitation after stroke, based on a standardized comprehensive multidimensional assessment performed at admission to rehabilitation. Patients addressing intensive inpatient rehabilitation pathways within 30 days from stroke were prospectively enrolled in two consecutive multisite studies. Demographics, description of the event, clinical/functional, and psycho-social data were collected. The outcome of interest was disability in basic daily living activities at discharge, meas

SUBMITTER: Campagnini S 

PROVIDER: S-EPMC12062331 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature