Linear and non-linear predictive models in predicting motor assessment scale of stroke patients using non-motorized rehabilitation device.

Linear and non-linear predictive models in predicting motor assessment scale of stroke patients using non-motorized rehabilitation device.

Various predictive models, both linear and non-linear, such as Multiple Linear Regression (MLR), Partial Least Squares (PLS), and Artificial Neural Network (ANN), were frequently employed for predicting the clinical scores of stroke patients. Nonetheless, the effectiveness of these predictive models...

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Bibliographic Details
Main Authors: Mazlan, Sulaiman, Abdul Rahman, Hisyam, Emhemed, Abdul Rahman A. A., Ahmmad, Siti Nor Zawani, Noordin, Muhammad Khair, Mohd. Rostam Alhusni, Nurul Aisyah, Abdullah, Muhammad Najib
Format: Article
Language:English
Published: Penerbit UTHM 2023
Subjects:
Q Science (General)
Online Access:http://eprints.utm.my/105733/1/MuhammadKhairNoordin2023_LinearandNonLinearPredictiveModelsinPredictingMotor.pdf

Internet

http://eprints.utm.my/105733/1/MuhammadKhairNoordin2023_LinearandNonLinearPredictiveModelsinPredictingMotor.pdf

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