Logistic regression analysis and machine learning for predicting post-stroke gait independence

Summary

The study connects "Education technology" by assessing various machine learning (ML) methods' accuracy in predicting stroke prognoses, correlating with key tags like Educational technology, Memory, Overlearning, Training, Prediction, Prognosis, and Validity. It highlights training models and validating their performance to predict subacute stroke outcomes, addressing overlearning issues and comparing their predictive validity.