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What is Improved ANN Model for Diabetes Prediction about?

The research article presents an improved artificial neural network (ANN) model, specifically the artificial backpropagation scaled conjugate gradient neural network (ABP-SCGNN), for effective diabetes prediction using a dataset of female patients. The model was validated through experiments on the Pima Indian Diabetes dataset, achieving a 93% accuracy with 20 neurons in the hidden layer, outperforming other ANN models. This study highlights the potential of advanced ANN techniques in enhancing disease pred

Author

covaf74590

Language

EN