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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| 主要な著者: | , , , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Penerbit UTHM
2023
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/105733/1/MuhammadKhairNoordin2023_LinearandNonLinearPredictiveModelsinPredictingMotor.pdf http://eprints.utm.my/105733/ http://dx.doi.org/10.30880/ijie.2023.15.04.020 |
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