Multiple linear regression in predicting motor assessment scale of stroke patients

• Main Authors: Mazlan, Sulaiman, Abdul Rahman, Hisyam, Kader Ibrahim, Babul Salam Ksm, Yeong, Che Fai, Mohd. Rostam Alhusni, Nurul Aisyah
• Format: Article
• Language: English
• Published: Penerbit UTHM 2021
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/96483/1/YeongCheFai2021_MultipleLinearRegressioninPredictingMotor.pdf; http://eprints.utm.my/id/eprint/96483/; http://dx.doi.org/10.30880/ijie.2021.13.06.029
• Institution: Universiti Teknologi Malaysia

Abstract: The Multiple Linear Regression (MLR) is a predictive model that was commonly used to predict the clinical score of stroke patients. However, the performance of the predictive model slightly depends on the method of feature selection on the data as input predictor to the model. Therefore, a...