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Tuberculosis Disease Diagnosis Using Artificial Neural Network Trained with Genetic Algorithm
The Journal of Medical Systems, 08/31/09
Elveren E et al. – The 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.
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