A model to predict diabetic patient using multi-layer perceptron

Abd Wahab, Mohd Helmy and Sudin, Nor’aisah and Sulaiman, Mohd Suffian and Mohd Sidek, Roslina and Ahmad, Noraziah (2010) A model to predict diabetic patient using multi-layer perceptron. Universiti Tun Hussein Onn Malaysia. (Unpublished)

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This paper presents an analysis of diabetes patient data using multi-layer perception algorithm to provide the best parameter to predict further diabetes patient. The data were collected from UCI Machine Learning Repositories as a sample to build a predictive model based on several experiment conducted. We used Neural Connection 2.0 as it is simple and easy to operate and it when the parameter setting correct was based on the data provided.

Item Type:Other
Uncontrolled Keywords:activation function; back propagation; neural network
Subjects:Q Science > QA Mathematics > QA76 Computer software
Divisions:Faculty of Electrical and Electronic Engineering > Department of Computer Engineering
ID Code:3050
Deposited By:Normajihan Abd. Rahman
Deposited On:21 Feb 2013 15:42
Last Modified:21 Feb 2013 15:42

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