This research intents to assess the application of artificial neural network in predicting the kidney failure disease. Kidney failure disease is being observed as a serious challenge to the field of medical with its impact on a mass population of the world. This work explored and analyzed the data generated from 60 kidney patients in many hospitals and hemodialysis centers using data mining technique . This is done by using Artificial Neural Network technique to select the weight, and connectivity structure to determine system for input variables learning. This work provides Physicians with an instrument assess the dialysis service performance The study for prediction of kidney failure has been carried out using Feed forward back propagation and Cascade forward back propagation algorithms.
Ahmed, S (2021). Prediction of Kidney Failure Using Artificial Neural Networks. Afribary. Retrieved from https://tracking.afribary.com/works/prediction-of-kidney-failure-using-artificial-neural-networks
Ahmed, Sara "Prediction of Kidney Failure Using Artificial Neural Networks" Afribary. Afribary, 20 May. 2021, https://tracking.afribary.com/works/prediction-of-kidney-failure-using-artificial-neural-networks. Accessed 21 Nov. 2024.
Ahmed, Sara . "Prediction of Kidney Failure Using Artificial Neural Networks". Afribary, Afribary, 20 May. 2021. Web. 21 Nov. 2024. < https://tracking.afribary.com/works/prediction-of-kidney-failure-using-artificial-neural-networks >.
Ahmed, Sara . "Prediction of Kidney Failure Using Artificial Neural Networks" Afribary (2021). Accessed November 21, 2024. https://tracking.afribary.com/works/prediction-of-kidney-failure-using-artificial-neural-networks