Author : Farah Muna Mohamad Ghazali, Wan Muhamad Amir W Ahmad, Mohamad Arif Awang Nawi, Nor Farid Mohd Noor, Nur Fatiha Ghazalli, Nor Azlida Aleng, Nurfadhlina Abdul Halim, Mohamad Shafiq Mohd Ibrahim,

Abstract : This study aims to validate the factor that perhaps influences the health status of an elderly at receiving home care. This research paper, we developed the R syntax for Multilayer Perceptron Neural Network (MLPNN) which considering the logistic based selection. At first, the related factors will be determined through multiple logistics regression procedures, then the selected variable will be validate using Artificial Neural Networks (ANNS) through the Multilayer Perceptron Neural Network (MLPNN). The validation process will be emphasizing on the Mean Square Error for forecasting (MSE-F) and the accuracy value. Through this developed methodology, we hope that the significant variable which treated as input to MLPNN will lower the MSE-F.Health. Through the developed MLPNN methodology, it was found that the Mean Square Error for forecasting (MSE-F.Health) is 0.105 with an accuracy of 91.28%. In conclusion, this showed that the developed model can predict the outcome by more than 90%. The developed R syntax is given in this paper for a better illustration.

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