Abstract
This paper aims to use artificial neural network ANN to contribute to pre-diagnosis of hypertension prediction, In this paper used the MATLAB to building ANN model in this model a number of people were tested to predict whether they had blood pressure disease or whether they were not infected this paper found the performance of pre-diagnosis of hypertension using artificial neural network is good method for healthcare based on results the accuracy of model reaches 81 % the proposed neural network is back propagation neural network incudes of seven input neurons in the input layer which are the factors of hypertension, four hidden neurons in the hidden layer The node of the output layer is the one that gives the classification for the data. It classifies that are having hypertension or not having hypertension.
Reference13 articles.
1. Abdullah, A., Zakaria, Z., & Mohamad, N.F. (2011). Design and Development of Fuzzy Expert System for Diagnosis of Hypertension. 2011 Second International Conference on Intelligent Systems, Modelling and Simulation, 113-117. https://doi.org/10.1109/ISMS.2011.27
2. Das, S., Ghosh, P.K., & Kar, S. (2013). Hypertension diagnosis: A comparative study using fuzzy expert system and neuro fuzzy system. 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7. https://doi.org/10.1109/FUZZ-IEEE.2013.6622434
3. Kaur, A., & Bhardwaj, A. (2014). Artificial Intelligence in Hypertension Diagnosis: A Review. International Journal of Computer Science and Information Technologies, 5(2), 2633-2635.
4. Lin, Z., Chang, C., Chou, N., & Lin, Y. (2014). Bluetooth Low Energy (BLE) based blood pressure monitoring system. 2014 International Conference on Intelligent Green Building and Smart Grid (IGBSG), 1-4. https://doi.org/10.1109/IGBSG.2014.6835225
5. Samant, R.M., & Rao, S. (2013). Evaluation of Artificial Neural Networks in Prediction of Essential Hypertension. International Journal of Computer Applications, 81, 34-38. https://doi.org/10.5120/14067-2331