Mathematical evaluation of diagnostic informativity of laboratory values in serous and purulent pyelonephritis
From a practical point of view, the recognition of different forms of acute pyelonephritis should be most effective in a short time and through the use possible of a limited number of routine laboratory methods of the study.
Purpose: development of forecasting the severity of acute pyelonephritis system using neural networks.