Application of artificial neural networks in estimating predictive factors and therapeutic efficacy in idiopathic membranous nephropathy.

Idiopathic membranous nephropathy (IMN) is one of the most frequent causes of the nephrotic syndrome in adults and one of the most common cause of chronic renal failure among primary glomerular diseases. The aim of this study was to develop artificial neural networks (ANN) to investigate factors of poor outcome for IMN and to evaluate the efficacy of different therapeutic protocols. Data were collected retrospectively for 124 patients with IMN (82 males, mean based on the received therapy patients were divided into three groups: corticosteroids only (group 1), cyclophsophamide with corticosteroids (group 2), and so called Ponticelli protocol (group 3).