Using Machine Learning to Predict Rehabilitation Outcomes in Post-acute Hip Fracture Patients.

Guy Shtar
Guy Shtar
Ran Nissan
Ran Nissan
Avital Hershkovitz
Avital Hershkovitz

Archives of physical medicine and rehabilitation, 2020.

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摘要

Use of machine learning models to predict rehabilitation outcomes of post-acute hip-fractured patients is superior to the linear/logistic regression models. The higher the MMSE, pre-fracture mFIM and admission mFIM scores are, the higher the confidence levels of the predicted parameters.

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