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 titlePrediction of Type II MODY3 diabetes using backpercolation.
AuthorsKhan, 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 range401-403
Book title18th IEEE Cmputer Based Medical System Conference, Dublin. Proceedings
PublisherIEEE Computer Society Press
Place of publicationLondon
ISBN
Hardcover0-7695-2355-2
Publication dates
Print23 May 2005
Publication process dates
Deposited21 Oct 2008
Output statusPublished
Web address (URL)http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=1467723
Digital Object Identifier (DOI)https://doi.org/10.1109/CBMS.2005.85
LanguageEnglish
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