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Fig. 2 | Journal of NeuroEngineering and Rehabilitation

Fig. 2

From: Inpatient stroke rehabilitation: prediction of clinical outcomes using a machine-learning approach

Fig. 2

Relative importance of independent variables for discharge clinical outcomes. (a) FIM Discharge model; (b) TMWT Discharge model; (c) SMWT Discharge model; (d) BBS Discharge model. Within each model, predictors relating to clinical outcomes tests (FIM, TMWT, SMWT, BBS) are scores from those tests at admission. TSA = time from stroke onset to admission; EDU = education in years; BMI = Body Mass Index; HIS = Hispanic; SI = speech impairment; LI = language impairment; Age = patient’s age in years

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