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What is Predicting Cirrhosis with Neural Networks about?

This document describes a study that used artificial neural networks to predict cirrhosis in patients with chronic hepatitis B using seven routine laboratory findings. The study analyzed data from 114 patients, dividing it into two groups to train and test the neural network model. The model achieved a sensitivity of 71.43%, specificity of 84.45%, and positive and negative predictive values of 71.43% and 95%, respectively, compared to liver biopsy diagnosis of cirrhosis. The researchers concluded that if th

Author

oljira

Language

EN