Abstract
Clinical decision support systems are rapidly developing along with digital technologies nowadays. Neural network methods have become more common in solving practical problems in healthcare. Today, clinical decision support systems are significant medical tools. The authors have developed a neural network system to diagnose liver failure. The "Neurodiagnost" system was tested in 270 patients with liver failure due to viral hepatitis B or C. As a result, clinical testing of the "Neurodiagnost" system demonstrated coincidence of neural network and laboratory diagnostics with a probability equal 91.5 % (247 patients). The use of the "Neurodiagnost" program can help reduce the risk of developing liver failure in surgery.
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