Prediction of Type II MODY3 diabetes using backpercolation.
Book chapter
Khan, N., Chukwuemeka, I. and Rahman, S. 2005. Prediction of Type II MODY3 diabetes using backpercolation. in: 18th IEEE Cmputer Based Medical System Conference, Dublin. Proceedings London IEEE Computer Society Press. pp. 401-403
Chapter title | Prediction of Type II MODY3 diabetes using backpercolation. |
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Authors | Khan, N., Chukwuemeka, I. and Rahman, S. |
Abstract | This paper examined the use of the backpercolation neural network algorithm to identify mutated MODY3 gene sequence data that is responsible for type II (maturity onset) diabetes. It was then demonstrated that a supervised feed forward method gave more accurate results in predicting point mutation in genes than the neural network backpropagation method. This paper brought the technique to the attention of other researchers as to how the method can be used for this and for the prediction of other diseases. The technique had been widely used in analysing environmental data is now commonly used in Bioinformatics. |
Page range | 401-403 |
Book title | 18th IEEE Cmputer Based Medical System Conference, Dublin. Proceedings |
Publisher | IEEE Computer Society Press |
Place of publication | London |
ISBN | |
Hardcover | 0-7695-2355-2 |
Publication dates | |
23 May 2005 | |
Publication process dates | |
Deposited | 21 Oct 2008 |
Output status | Published |
Web address (URL) | http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=1467723 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/CBMS.2005.85 |
Language | English |
File |
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