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Designing an Artificial Neural Network model for the prediction of kidney problems symptom through patient's metal behavior for pre- clinical medical diagnostic

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3 Author(s)
Adam, T. ; Inst. of Nano Electron. Eng., Univ. Malaysia Perlis (UniMAP), Kangar, Malaysia ; Hashim, U. ; Sani, U.S.

This paper contains a report on a very simple functional model of Artificial Neural Networks, the article is proposed to aid current pre-clinical patient diagnosis methods. The study investigated the use of Artificial Neural Networks in predicting the kidney problems symptom through comparing mental behavior of different patients. Images were taught to the network through the matrix algorithms we generated and implemented using Matlab software. We did testing on 10 samples, 2 for each case, which successfully identified each sample according to facial information trained to identify. This study demonstrate that the proposed approach could be used as method of patient for prediction of various diseases especially in provision of initial care for an illness.

Published in:

Biomedical Engineering (ICoBE), 2012 International Conference on

Date of Conference:

27-28 Feb. 2012