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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/21315

Title: Designing an Artificial Neural Network model for the prediction of kidney problems symptom through patient's metal behavior for pre- clinical medical diagnostic
Authors: Tijjani Adam, Shuwa
Uda, Hashim, Prof. Dr.
U. S., Sani
???metadata.dc.contributor.url???: tijjaniadam@yahoo.com
uda@unimap.edu.my
newh49@yahoo.com
Keywords: Neural Network;Kidney;Patient;Pre clinical;Artificial Intelligence;Examination;Diagnostic
Issue Date: 27-Feb-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: p. 233-236
Series/Report no.: Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012)
Abstract: 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 algorisms 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
Description: Link to publisher's homepage at http://ieeexplore.ieee.org/
URI: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179011
http://hdl.handle.net/123456789/21315
ISBN: 978-145771989-9
Appears in Collections:Conference Papers
Uda Hashim, Prof. Dr.

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