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Tuberculosis disease diagnosis using artificial neural network trained with genetic algorithm.

Erhan Elveren and Nejat Yumuşak

J Med Syst 35(3):329-32 (2011) PMID 20703557

Tuberculosis is a common and often deadly infectious disease caused by mycobacterium; in humans it is mainly Mycobacterium tuberculosis (Wikipedia 2009). It is a great problem for most developing countries because of the low diagnosis and treatment opportunities. Tuberculosis has the highest mortality level among the diseases caused by a single type of microorganism. Thus, tuberculosis is a great health concern all over the world, and in Turkey as well. This article presents a study on tuberculosis diagnosis, carried out with the help of multilayer neural networks (MLNNs). For this purpose, an MLNN with two hidden layers and a genetic algorithm for training algorithm has been used. The tuberculosis dataset was taken from a state hospital's database, based on patient's epicrisis reports.

DOI: 10.1007/s10916-009-9369-3
Version: za2963e q8za1 q8zbb q8zcf q8zd3 q8ze6 q8zf7 q8zg2

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