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http://hdl.handle.net/123456789/21315
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| 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
Uda, Hashim, Prof. Dr.
U. S., Sani |
| E-mail: | 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
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