ARTIFICIAL NEURAL NETWORKS IN MEDICAL DIAGNOSIS
DOI:
https://doi.org/10.34185/1562-9945-2-133-2021-05Keywords:
artificial neural networks, medical diagnosis, multilayer perceptron with back-propagation training, diabetic retinopathy, function of activityAbstract
Artificial neural networks are finding many uses in the medical diagnosis application. The article examines cases of renopathy in type 2 diabetes. Data are symptoms of disease. The multilayer perceptron networks (MLP) is used as a classifier to distinguish between a sick and a healthy person. The results of applying artificial neural networks for diagnose renopathy based on selected symptoms show the network's ability to recognize to recognize diseases corresponding to human symptoms. Various parameters, structures and learning algorithms of neural networks were tested in the modeling process.
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